PLIDA/MADIP Research Projects

There is currently a lack of consistent and comprehensive agricultural workforce demand and supply data. This project will explore BLADE, MADIP and Farm level Agricultural Data (FLAD) integrated datasets to model agricultural demand for on-farm workers.

The Life Course Data Initiative (LCDI) initially aims to use the existing PLIDA to explore what indicators and analyses relating to entrenched disadvantage can be conducted and generate useful, actionable insights. The LCDI anticipates its analyses using the PLIDA will provide a pilot evidence-base on the prevalence, predictive and protective factors of childhood entrenched disadvantage, including the potential pathways out of entrenched disadvantage. This proposed methodological work may inform outputs by the LCDI relating to the priorities of the Targeting Entrenched Disadvantage Package, and extensions of this work by the LCDI that will be undertaken using a larger data asset (Life Course Data Asset), which is being scoped.

The project will enable new household economic insights and statistics to be obtained from linked data. It will construct economic information (such as income, wealth and expenditure) based on non-survey sources, and use linked ABS household surveys to enhance the quality and utility of outputs.

This research is aimed at using auxiliary information from PLIDA to improve the efficiency of household surveys in the areas of sample design, sample allocation, sample selection, respondent approach, enumeration design and operations, and follow-up and reminder actions.

This project will produce small area (Population Health Area (PHA) level) modelled estimates of health indicators collected in the 2022 ABS National Health Survey (NHS). The project will include relevant MBS and PBS data as candidate variables in the modelling procedure.

This project aims to apply a new family of m-estimators, which includes maximum likelihood estimators and estimators for the mean, probabilities and quantiles, to produce more accurate income statistics by integrating big data (being the Personal Income Tax data items in MADIP) with survey data (being the Survey of Income and Housing). The study will compare the accuracy of these statistics to their counterparts using only big data or only survey data, against their respective correspondence to population income statistics in the 2016 Census (being the Census of Population and Housing 2016 data items in MADIP).

This project commits to producing enhanced regional labour market statistics to support the National Workforce Strategy. These data will take the form of more reliable monthly measures of regional labour markets (employment, unemployment, underemployment and participation) for all SA4 regions in Australia. The project also aims to deliver new quarterly and annual labour market statistics, for more granular geographic areas, such as SA3 regions, SA2 regions and Local Government Areas.

After creating population and housing datasets from administrative data to support the 2021 Census, the ABS plans to make these datasets available for broader research use. This project will make these datasets, the Experimental Administrative Data Snapshot of Population and Housing, available to researchers. Phase 1: publish aggregate statistics (data cubes) on the ABS website. Phase 2: release of a TableBuilder product. The Admin Data Snapshot reflects Australia’s population and housing around Census time, as captured in administrative data, and will provide a comparison with 2021 Census data.

The project will examine and compare differences in LTHC prevalence output obtained in Census 2021 with output from the National Health Survey 2017-18 and 2020-21 and the Survey of Disability and Carers 2018. The project will inform recommendations regarding the optimal vehicle for measuring LTHC prevalence in Australia, including evaluating the further use of the LTHC Census item and providing informed advice to data users about appropriate sources of LTHC information.

This project aims to use SA1-level summaries of the DSS information to allow targeting (better control over selected sample sizes) for pensioner or low socio-economic households.

This project will enhance the 2021 Census dataset by adding the following new Income data items derived using MADIP: (1) Main source of income (2) Main source of government payment (3) Dollar income amount (as opposed to a broad income range).

This research project aims to investigate how Safety Net family registrations data may be used to improve the quality of family structure information in MADIP. It will assess the amount of family structure information across all MADIP spine persons, and for a 2021 Australian resident cohort. This research follows on from initial investigations recently undertaken to assess the quality of family structure information within the unlinked Safety Net family registrations data, provided by Department of Health in early 2022. 

This project’s purpose is to use a MADIP-based population dataset in a case study that analyses population migration patterns around Australia during the COVID pandemic. There are two outcomes of this project: (1) Increase the ABS and community understanding of population migration patterns during and due to the COVID pandemic. (2) Demonstrate the potential value of making an administrative population dataset available for wider research and statistical use.

The ABS used linked administrative data, including MADIP data, to improve the 2021 Census of Population and Housing. Administrative data helped to find areas where additional support was needed (for example, specific languages), improve the Census count, and prepare for unexpected events that would make Census information difficult to collect. The ABS plans to use linked administrative data in these same ways to support the 2026 Census, as well as researching new methods and administrative data sources.

This project aims to replace difficult to enumerate sub-populations in the monthly population survey with de-identified Census records to improve accuracy and reduce volatility in aggregated labour force estimates. The focus of this project are people who live in very remote areas, and non-private dwellings. Existing interviewer resources will be re-directed to improving enumeration of the private dwelling sample.

This project supports the development of data and analytical products for potential inclusion in the Digital Atlas of Australia. There are significant gaps in commonly available datasets regarding timeliness, spatial and temporal granularity, and substantive content on many important social, economic, and environmental factors. Integrated data from MADIP and BLADE will be used to address these shortcomings and provide a significant contribution to the nationally significant DA project.

The 2021 Australian Census and Migrants Integrated Dataset (ACMID) consists of settlement records from the Department of Home Affairs, pertaining to permanent migrants who arrived from 01/01/2000 to Census night, that are linked with data from the 2021 Census of Population and Housing. The 2021 Australian Census and Temporary Entrants Integrated Dataset (ACTEID) consists of temporary visa holders information from the Department of Home Affairs, pertaining to temporary entrants who were in Australian on Census night, that are linked with data from the 2021 Census of Population and Housing. 

This project will involve production of high quality data from the Survey of Income and Housing (SIH) using integrated data to supplement or substitute reported data.

The Queensland Registry of Births, Deaths, and Marriages (Qld RBDM) have an ongoing goal to register all births occurring in Queensland. The birth registration rate of Aboriginal and Torres Strait Islander children is typically lower than that of non-Indigenous children. The birth registration dataset linked to the MADIP spine may provide many insights into the current registration rate, how this has changed over time and geographical areas where efforts on registration can be focussed in future.

This project aims to include medication prescriptions information from the Pharmaceutical Benefits Scheme (PBS) for the National Health Survey 2020-21 survey participants, in order to understand PBS dispensings in the context of health risk factors and conditions and to include the medications data on standard microdata products; DataLab and TableBuilder. This project aims to continue this approach for the National Health Survey 2022.

The purpose of this project is to develop enduring indicators for annual reporting.  Data will inform Home Affairs’ program delivery, particularly the Humanitarian Settlement Program, and will also be used for internal briefing and reporting.

Output from this project: 

• Migrant Data Matrices, Australia 

This project will explore how MADIP could support ABS household income, wealth, housing and expenditure data products. It will investigate use of MADIP to support official statistics, including enhancing future survey designs and data editing for the 2020-21 survey collection.  Outcomes are expected to reduce the burden of the 2023-24 survey and support the release of statistics using MADIP data created by this project.

There are data items on the MADIP that, when aggregated, may provide useful and frequent small domain statistics. These may be a set of related statistics - e.g. health or economic indicators. However, the data items may exhibit under or over coverage and other forms of missingness. This project seeks to address these issues using Deep Neural Networks to coherently and accurately impute missing values for a set of useful, related data items.

The Labour Market Analysis Project (LMAP) will deliver new insights about changes in employment, jobs and remote working during the COVID-19 crisis and its aftermath. As the project intends to leverage heterogenous data from BLADE, MADIP and ‘big data’ sources, the ABS’ GLIDE knowledge graph platform will be used to build a pilot Longitudinally-Linked Employer-Employee Dataset (LLEED). This will enable analysts to understand the complex labour market interactions among persons, businesses and governments, and to ‘connect the dots’ across a broad canvas of interrelated economic and social factors using a dynamic multisource evidence base.

This project continues the Proof of Concept for the National Crime and Justice Data Linkage project, which aims to test the feasibility of linking together administrative datasets from Police, Criminal Courts and Corrective Services agencies across Australian jurisdictions. This will allow for the assessment of data linkage methodologies and test the development of a ‘Justice Spine’ which can potentially be linked to other datasets.

There are significant data and analysis gaps in our understanding of vulnerability and resilience to natural disasters. This is due to poor access to relevant and highly granular data and the resulting inability to develop tailored metrics drawing on linked social, economic, and environmental datasets. ACS is addressing these issues in its support for the prospective National Resilience, Relief and Recovery Agency (NRRRA). MADIP, BLADE and related datasets provide rich information which can be used for in-depth and timely analysis about people and businesses in disaster-prone areas.

This project assesses the feasibility of creating simulated microdata that preserves key relationships between variables in MADIP and BLADE while maintaining data confidentiality. 

This project aims to assess the statistical impact of creating the Personal Income of Migrants Integrated Dataset (PITMID) (2016-2017) from the MADIP asset. The assessment will compare the number and quality of links by visa and State/ Territory. 

This project supports rapid respond to government agencies for urgent requests for confidentialised aggregate and modelled statistical outputs or estimates during the COVID-19 pandemic. 

This project makes use of integrated data from the MADIP and BLADE data assets. 

This project builds upon research led by the Department of Education, Skills and Employment, providing a direct measure of income as an input into the annual capacity to contribute assessment, which informs the amount of base recurrent funding for non-government schools. Under previous arrangements capacity to contribute was calculated using information on the socio-economic status of the area(s) where the students resided. Integrated data enables the use of a more direct measure of a school community’s capacity to contribute, as well as further research to refine and improve the methods. 

This project will explore integrated data produced from the MADIP to understand the relationship between sociodemographic factors and the prevalence of pancreatic cancer. The information will be used to inform a National Pancreatic Cancer Roadmap. 

The Childhood Integrated Longitudinal Dataset (CHILD) pilot project aims to create a comprehensive dataset with full coverage of Australian children aged 0 to 18. This dataset will provide an up-to-date administrative population base with accompanying demographic and geographic information to inform early childhood and school education national reporting indicators.

ABS post-Censual population estimates use a dual system estimation methodology with the Census and the Post Census Review (PCR) used as data sources. This project aims to assess how the administrative data held in MADIP can be used to reduce the risk of an estimation bias in the event of reduced response rates, or other challenges such as reduced Census-PCR linkage rates.

The ABS will assess potential benefits (reduced sample size, lower respondent burden, maintained accuracy of statistics) of creating survey design strata at the area and household level based on MADIP datasets. This assessment is in line with the ABS response to Linkage of ABS Address Register with Census Data and/or Contact Data, Privacy Impact Assessment, June 2018.

This project aims to check the feasibility of adding a homelessness flag to the Census dataset of MADIP for 2016 (and 2011 at a later stage). Such a flag on the MADIP would allow targeted analyses of the homeless cohort (and those at risk) to determine their social, economic and health trajectories.

This exploratory work extends Proof of Concept for National Crime and Justice Data Linkage Project activities by testing the feasibility of linkage between selected criminal justice sector datasets with national Personal Income Tax datasets.

This project will assess the use of administrative data linked to survey frames to account for non-response and to ensure that the weighted sample is representative of the population. Analyses of response by mode (online or phone) also allows development of methods to control modal bias and to predict take-up of collection modes by different demographics.

This project seeks to produce small area modelled estimates for household net wealth from the 2015-16 Survey of Income and Housing. The primary goal of this project will be to support internal research and development to assess the use of linked data to enhance the production of small area modelled estimates. It is hoped that this will lead to higher quality small area estimates as well as provide insights into process efficiencies that can be implemented to improve the range and speed at which small area estimates can be created in the future. 

This project will explore a data integration analytical file produced from MADIP to understand the relationship between sociodemographic factors and the prevalence of lung cancer. The information will be used to inform an Australian Government Lung Cancer screening policy and associated guidelines for screening participants. There is potential to establish a 'risk score' to better target the screening population. 

The linkage of Survey of Disability, Ageing and Carers (SDAC) 2018 data into the MADIP dataset achieved an 80% linkage rate. To advise researchers on the appropriate use of this data, we need to understand the biases that are created by this linkage. The target populations for analysis have a lower than 20% prevalence and it is important to know if subpopulations of interest largely failed to be linked.

The NDIS is a national disability care and support scheme which has significantly changed the way disability support services are funded and delivered. This project involves the linkage of a selection of NDIS data with MADIP. Integration of these datasets willhelp to build a richer picture of Australians living with disability. Analysis will focus on participants’ wellbeing and their housing and economic circumstances. 

The Tasmanian Early Childhood Development Outcomes project will build an enduring linked dataset which can be analysed to identify risk and protective factors (e.g. household income, use of health services, mobility, parental education levels) that influence childhood development in Tasmania and support analysis as students move through education. It builds on a previous feasibility study which integrated Census and Tasmanian education data to enhance the evidence base on the socioeconomic context of early childhood development and student achievement.

Large, complex, multi-location businesses tend to report business activity from their head office. As a result, business data is heavily biased to the location of the head office, when in reality business activity may be taking place elsewhere. There are an unknown number of business locations associated with these large, complex businesses. This project seeks to take the first steps towards potentially resolving this problem. This project is for internal research and development purposes only. 

This project aims to produce case studies that will demonstrate how health status and behavioural risk factors are related to a person’s use of government services. This project will showcase the potential benefits of research using Integrated NHS and MADIP data to assist with the design, evaluation and better targeting of relevant Government policies. 

This project links 2016 Census of Population and Housing data with administrative data to research how it could be used to improve the next Australian Census in 2021. The research is investigating the potential of administrative data to: improve the quality of Census data; add new information to the Census; reduce the cost and burden of running the Census to taxpayers; and provide a contingency for areas affected by a natural disaster or other emergency event at Census time. This research is in line with international initiatives in countries such as Canada, the United Kingdom and New Zealand. 

This project aims to provide better measures on the quality of labour inputs for productivity analysis. The purpose of this project is to explore the potential of MADIP to derive aggregate indicator measures. For example, labour market experience and education proxy measures from modelling the relationships between earnings, education attainment, and worker characteristics. 

This project will investigate the feasibility of using MADIP microdata to provide insight into the design and evaluation of government policies, programs, and services in relation to Disability, Ageing, Carers, and Mental Health. A range of feasibility studies will aim to identify predictive factors and quantify the impact of these on a person’s mental health, physical health, and disability status. The anticipated outcomes will be used to prepare case studies for key stakeholders to showcase the potential benefits of research using MADIP microdata.

This project will compare government payments data from SSRI and the Survey of Income and Housing (SIH). Outputs from this analysis will be used to understand these differences to help assure the quality of SIH 2017-18 outputs. 

The findings of this project will be used for further development and implementation of the NSW Government’s Human Services Outcomes Framework and to inform work to improve the lives of vulnerable children and their families. 

This project supports the Australian Competition and Consumer Commission’s research work relevant to the impact of competition in the Australian economy. BLADE microdata enables the ACCC to monitor business dynamism in the Australian context, including the impact of increasing concentration in the market. This work builds on the evidence based approach to ACCC policy considerations and its position on emerging issues.

This project uses integrated data from MADIP and BLADE to create standard socio-economic indicators to generate insights to improve the delivery of investments. The project will systematically access cross-portfolio data to inform how it administrates grants functions to support the Australian Government in achieving a healthy environment, strong economy and thriving community now and for the future.

This project uses integrated data from MADIP and BLADE to assess, discover and synthesise new evidence in existing government datasets that highlights the return on investment from Australian Government support for Indigenous environmental programs.

This project aims to identify the capacity of existing and potential capabilities available in regional Australia to support national resilience operations.

The VET system currently has limited understanding of the effectiveness and outcomes of government funding in VET. This project will enhance the evidence base of the employment and social outcomes of VET students in Australia. Phase 2 will release VET student outcomes by VET providers to the National Skills Commission. The release will be prepared through analysis of the same underlying MADIP and BLADE data as for Phase 1, but with the addition of RTO identifiers. This will provide a more complete, consistent and accurate database on VET performance and will support the National Skills Commissioner to provide evidence-based advice to governments and stakeholders, on student outcomes and return on investment in VET.

The Education, Skills and Employment National Data Asset (ESENDA) project will create an evidence-base to support Australia’s economic prosperity and social wellbeing by identifying opportunities to drive better outcomes for people, through education, skills and employment pathways.

This project uses integrated data from MADIP and BLADE to enhance the evidence base of the employment and social outcomes of VET students in Australia. VET completion and attainment data will be linked to MADIP data to create a longitudinal de-identified student-level dataset. This will support the National Skills Commissioner to provide evidence-based advice to governments on student outcomes and return on government investment. 

VET completion and attainment data will be linked to employment data in BLADE to obtain information on the businesses which consume VET services. This will supplement information on the employment outcomes of students, providing data on the industry of employment for students and on non-wage earnings outcomes. It will also provide insights on the link between specific qualifications and the industry of employer to ascertain the relevance of training to industry and benefits of VET training to employers. 

This project uses integrated data from MADIP and BLADE and builds on the Treasury’s Real-Time Labour Market Tracker project. The Labour Market Tracker project has created a high-quality, high-frequency data asset to monitor the labour market during the current pandemic and associated economic shock. The Skills Tracker project expands on this important resource to inform on emerging shifts in the labour market, the skills held by people without work, and the skilling and re-training needed to get people back into work.

This proof-of-concept project looks at the relationship between students’ school performance and their outcomes after leaving school. It brings together secondary school data across all participating states and territories and schooling sectors, and links this to Australian Government data from the MADIP. Approved researchers will use the anonymised datasets to explore student journeys from the start of secondary school to post-school education and employment. This will help identify socio-economic, health and other factors impacting outcomes for young people.

This collaborative project forms part of the evidence base for the Australian COVID-19 response and recovery efforts by modelling the impact of COVID-19 on household incomes, health, education, accommodation and housing, and welfare needs. This project is designed to inform priorities and decision-making to support COVID-19 recovery initiatives, with a specific focus on vulnerable members of the Australian community.

A growing body of Australian and international research evidence indicates that what happens in the early years has consequences for children’s later educational and health outcomes. This project will enhance understanding of the effects of health and socio-economic factors that drive disadvantage with respect to children’s early development outcomes and identify early childhood policy interventions or protective factors that can improve these outcomes. This project will provide the foundation for an enduring integrated child dataset and will create critical child centred infrastructure that can be supplemented with additional health and welfare data for future researchers.

This project will identify opportunities to lift the learning trajectories of students by exploring the influence and prevalence of out-of-school factors on academic progress. For the first time, student level data from the National Assessment Program-Literacy and Numeracy (NAPLAN) will be linked to MADIP data to create a longitudinal de-identified student-level dataset. The research will establish a baseline for student learning progress that can be compared with later trajectories to inform on the effectiveness of reforms in the health, social services and education portfolios.

This projects aims to assess the feasibility of implementing an investment approach to tertiary education. This approach follows the view that each dollar spent by the government is an investment aimed at achieving one or more benefits. Under an investment approach, efforts are made to continuously improve a model of costs and benefits (monetary and non-monetary) within a given system so that the returns on investments are improved. Among other outcomes, this project intends to use data from MADIP to increase transparency of investment decisions, and develop a framework for the synthesis of evidence, since a conceptual understanding of relationships within the system are required prior to any quantification. 

This project aims to improve tertiary education funding policy and broader social policy development. The project will identify and incorporate Australia-specific non-monetary benefits of educational attainment into an improved measure of the government’s social return on investment in education and training. The project will also seek to quantify the potential savings gained in other portfolios from investment in tertiary education, for example, whether higher levels of educational attainment reduce health and welfare expenditure per annum.

This project aims to understand the significant social and health risk factors that prevent Australians from completing their tertiary studies and transitioning from tertiary education (including Vocational Education and Training and university studies) to employment. 

Output from this project: 

• Graduate Apprenticeship Outcomes

This project will use MADIP data to showcase the social, health and welfare benefits of education and training for Australians and Australian society as a whole. The project will help the department communicate the importance of education and training to the Australian public and thereby build social licence for education and training policy. This project will also contrast outcomes for different educational pathways to inform more efficient and effective policy initiatives. 

Output from this project: 

• Infographic: Benefits of Educational Attainment

The CtC project builds on the work completed in the Socio-economic characteristics of school catchments – exploratory analysis. This work is being conducted using the MADIP for the National School Resourcing Board (NSRB). The project involves creating a direct income measure based on linking the personal income data and residential address data of parents/guardians. The aim is to create a more targeted, more accurate measure that will ensure funding flows to the schools that need it the most. 

This project investigated different models for estimating the socio-economic characteristics of non-government school catchments. The work informed the National School Resourcing Board (NSRB) in their review of the national school funding model. The models developed were compared to the existing Socio-Economic Status (SES) Score index and were used to inform the new Capacity to Contribute (CtC) school funding arrangement. 

To test alternate settings in online employment services, the Department of Employment and Workplace Relations (DEWR) will conduct a series of randomised controlled trials (RCTs). Integrated administrative data will be used to assess differences in participant outcomes. These trials will generate valuable evidence that will facilitate more flexible and targeted support for job seekers; inform the design of certain safeguards for online employment services; and highlight jobseeker cohorts who could benefit from moving from online services to provider services earlier than others. The trials also offer a practical means of testing different approaches in employment services before system-wide changes can be considered by government.

This project aims to integrate and analyse emerging social, health and welfare policy issues through an enduring and relevant analytical asset. Insights from this project will inform advice to Government on new policy proposals. It will strengthen the capacity of the Department of Finance to assess the efficiency and quality of government spending on many of its strategic policy priorities including interactions of social, health and welfare policies. 

Finance supports the Government’s ongoing priorities through the Budget process and fosters leading practice through the public sector resource management, governance and accountability frameworks. Finance is accountable to the Parliament for the accuracy of program expenditure estimates and has an important role in costing new policy under the Charter of Budget Honesty. Analysis of MADIP data will contribute to estimating the costs and impacts of policies for Government. 

Demand for medical services is well understood to vary spatially and between different demographic cohorts, with observable factors like socio-economic indices often utilised as a proxy for unobserved latent factors. This research aims to use linked individual-level data to develop a simulation model of health service demand that explicitly captures a range of key associated indicators. While many indicators can be modelled directly from the MADIP data, such as detailed education, income, and welfare status, of particular interest is the effect that long-term health conditions have on demand for health services. Where possible, the study aims to use the data for enhancing our understanding of the supply of medical services in Australia.

The Multi-Agency Data Integration Project (MADIP) dataset, with its enduring linkage to the Australian Immunisation Register, provides opportunities to better understand Australia’s immunisation landscape. This project aims to understand immunisation uptake and hesitancy, the impact and effectiveness of vaccines, vaccine programs and related communications, close to real-time evidence relating to vaccine policy and program implementation, vaccine-specific research spanning health system performance and vaccine safety.

The Department of Health and Aged Care will develop a longitudinal life course outcome model under the Priority Investment Approach Project. This project will enable the Department to develop options and advice on prevention strategies to support better outcomes later in life, including delaying or diverting entry into the aged care system. It will also strengthen the evidence base to improve outcomes and transitions between health and aged care settings.

The purpose of this project is to inform policy design and implementation that supports strengthened and equitable access to affordable primary care services for all people living in Australia, with a particular focus on populations that experience disadvantage. It aims to understand current usage and barriers impacting equitable access to these essential health services.

The Department of Health is co-ordinating the COVID-19 Vaccine and Treatment Strategy (henceforth ‘the Strategy’). One of the goals of the Strategy is that Australians will receive safe and effective vaccines under a targeted and responsive national COVID-19 vaccination policy and immunisation program. This project will inform the Strategy by using deidentified data in MADIP linked to the Australian Immunisation Register (AIR) dataset to enable more granular breakdowns and analysis of selected socio-demographic cohorts in the administration COVID-19 vaccines, and allow policy interventions to be targeted accordingly. 

The research objective of this project is to create a synthetic Australian population based on information available in administrative (MADIP) and survey (NHS) data. The public benefit is that a synthetic dataset would be able to inform the development and evaluation of policy internally in the Department. This dataset could be used to assess the effectiveness of policies that have been implemented, especially health policies that are targeted at lifestyle factors. 

This project will use MADIP to understand Australians’ use of government services at the end-of-life, including settings in which services are provided and their appropriateness. This analysis will inform targeted approaches in providing end-of-life care. The project is within the ambit of the 2019-20 project on Harnessing Academic Expertise for High-Value Data Analytics using innovative techniques and new ways of research collaboration. 

This project aims to build knowledge and a better understanding of the association between physical health conditions and mental health conditions. It aims to identify policy opportunities to improve life expectancy and health outcomes for people with mental health diagnoses and co-morbid physical health conditions and ensure that people affected by mental health conditions are being appropriately supported by the social welfare system. 

The aim of the project is to gain greater insight into the prevalence of suicide and its relationship with risk factors, protective factors and social determinants. This project will inform the National Suicide Prevention Taskforce in supporting the National Suicide Prevention Adviser. The information will be used in the development and refinement of suicide prevention policies and strategies, including helping to assist in mapping need and services to ensure supports are delivered at the right times to the right people in the right places. 

This project will test methods of engaging effectively with policy areas across portfolios for data analysis and will support discovery of analytic insights that inform policies regarding how the funding of government services for older Australians is expended. The project will identify the extent to which policies and programs are interacting with the client groups. It will identify opportunities for policy makers and program managers to work together and better deliver those services, identify duplications and gaps, and unintended outcomes when services are looked at as a whole. 

Dependence on opioid drugs is associated with a range of health and social problems that affect individual drug users, their family and friends, and the wider public. Fatal opioid overdoses have been increasing for the last decade with the vast majority now being caused by pharmaceutical opioids rather than heroin. This project will investigate the variations in prescription opioid dispensing patterns and service utilisation between different groups of patients and the factors that are likely to be best targeted through interventions. 

Microdata from MADIP will be used to support and inform health workforce planning. This data will complement other health-related data and population data to form the basis of demand estimates for a study of General Practitioner (GP) supply and demand. 

The purpose of this project is to gain insights into screening participation for breast and cervical screening programs in New South Wales, and characteristics of people in New South Wales who have been diagnosed with cancer. This project will be undertaken by the ABS Health and Education Data Design and Analysis Hub, with full funding from the Department of Health.  

The project will investigate the incidence and determinants of private health insurance (PHI) consumption over time. This will enable government to assess PHI and other aspects of health policy based on the best evidence available. The outcome of this project will support ongoing reform in PHI to improve the sustainability of the sector and affordability for consumers.  

The Adult Migrant English Program (AMEP) Impact Evaluation Project seeks to better understand the broader impacts of the AMEP on migrant outcomes. The findings of the project will be used by Home Affairs to enhance the quality and effectiveness of the AMEP program, in order to increase learner engagement and therefore improve migrant outcomes.

This project will investigate the relationship between firm’s Research and Development (R&D) investment and Research & Development Tax Incentive (RDTI) program participation and outcomes such as innovation and commercialisation, and subsequently its effect on the business performance. The project aims to produce results at the industry/sector level and identify firms that conduct R&D but do not claim RDTI. It also seeks to identify where policy levers could be targeted to improve the overall economic outcomes for Australia.

The Women in STEM analytical project aims to undertake longitudinal analysis of employment outcomes of Australian’s with STEM qualifications from a gender lens. This will provide crucial insights on progression for women in the STEM pathway, through longitudinal evidence using MADIP. 

This project seeks to establish a financial wellbeing measure using administrative data in MADIP and linked Financial Wellbeing and Capability (FWC) DEX client data. This project will evaluate the financial determinates of clients accessing FWC programs, determine and track the impact of the program interventions on financial outcomes over time and, provide trend analysis capabilities to the branch and assessment of the program’s contribution to improving client financial outcomes.

The Social Policy Evidence National Data (SPEND) project aims to better enable the Department of Social Services (the Department) to build a robust evidence base for social policy development and to support the Department to pursue its mission to improve the wellbeing of individuals and families in Australian communities.

Disability Employment Services (DES) help people with disability to find and keep a job. This project will use integrated data on DES participants to gain whole-of-life insights on the nature and impact of disability employment, and the main factors that drive employment outcomes for people with disability.

A strong evidence base is needed to understand the current and emerging cohort of NDIS participants aged 65 and over and their support needs. This project aims to build a more comprehensive understanding of aged care, the main alternative system for older people with disability, to underpin policy development. This involves examining the roles of, and the interface between, the NDIS and the aged care system for supporting older people with disability as they age, including comparative analysis of supports across the two systems.

There are two purposes to this project: 1. To inform research on how Australian Families are faring in the face of economic and wider-labour market changes pre and post COVID-19, and 2. To provide the department regular (monthly) analytical extracts on families on income support and/or Family Tax Benefit and Paid Parental Leave to monitor Family Tax Benefit population and to help shape future policy development and implementation.

The Cashless Debit Card (CDC) program is implemented by the Department of Social Services. This project will analyse integrated data in a phased approach, comprising initially MADIP data, followed by CDC program data and finally hospital data held by the Australian Institute of Health and Welfare. The project will analyse social harms in CDC regions and health, social and economic outcomes for CDC participants.

This project aims to test the capacity of the National Disability Data Asset (NDDA) to create an indicator for people with disability based on existing administrative data, and to test the NDDA’s suitability for reporting against the future National Disability Strategy (NDS) Outcomes Framework. 

The purpose of this research is to assist DSS to develop a deeper understanding of the labour market participation of working age people with a disability. The department is particularly interested in differences in the nature of labour market of people with a disability across key demographic characteristics that have been shown to impact labour force participation, as well as differences between disability type/group & severity, age when disability was acquired, and availability of supports. 

This project will use linked MADIP data to investigate the social and economic characteristics of people who are economically vulnerable to the COVID-19 pandemic. 

This project aims to identify potential career pathways and supporting career transitions in a rapidly changing labour market. Through analysing the Census data and Personal Income Tax data, the project will identify occupational and sector transitions. Online job ads data will also be utilised to identify what occupations have similar occupational and educational requirements. These findings will then be used to identify occupational transitions that appear feasible but are not occurring in practice.

An in depth understanding of income support payments is essential for meeting recipients’ needs and ensuring the welfare system supports people in need. This project will use integrated data to better understand what happens when income support recipients leave the system, including transitions and interventions in the lead-up to an exit. Integrated data will provide insights on the influence of health, education and past work experience on the pathways to sustainable employment. 

People’s life outcomes are strongly related to their family circumstances, structure and transitions as children. Building on research by the University of Sydney, this project will examine the relationship between childhood disadvantage and pathways later in life. The integrated dataset developed for this project will be an important addition to the evidence base on intergenerational welfare dependence. It will extend the scope of possible research beyond welfare payment outcomes for children growing up in low income households to include social, health, employment and economic outcomes.

Mental health disorders are the leading cause of non-fatal disease burden in Australia and worldwide. This project will use linked data to investigate the elevated levels of mental health disorders reported in recipients of income support and students to gain policy insights. 

This projects aims to investigate the characteristics of disadvantage as captured within MADIP. It will consider links between disadvantage as seen in the social security system to disadvantage apparent in health and tax data. 

This project will help understand the characteristics of entrants into the Disability Support Pension and other forms of long-term welfare. It will be used to assess whether the number of claimants can be reduced over time by increasing the quantity and quality of early interventions. The outcomes of this project will be used to better inform early intervention strategies and support the design of better targeted and more effective policies and services relating to the provision of welfare. 

DVA’s Refined Veteran-Centred Wellbeing Framework reflects the aspects of veterans’ lives that influence their wellbeing today and into the future, and research shows that it changes across the whole-of-life continuum. This project intends to deliver a longitudinal lifetime view and associated insights for serving and ex-serving personnel and their families to inform evidence-based policy and programs which will, in turn, create better outcomes for current, former and future ADF personnel, their families, and the community.

This project aims to increase our understanding of the mortality outcomes of Australians who are experiencing financial disadvantage and are in need of government support through Australia’s social security system. Specifically, it will consider all-cause mortality and leading causes of death, type of income support payments received, duration of income support receipt and whether mortality outcomes vary by demographic characteristics, income, employment/education, and health service use.

The aim of this project is to explore the feasibility of the AIHW adopting an epidemiological approach to estimating Indigenous life expectancy by using MADIP as both a population-at-risk and as a source of the events of interest (fact of death). Adopting an epidemiological approach based on MADIP as a population-at-risk will ensure consistency in Indigenous identification between the fact of death information in the numerator and the population-at-risk from which the deaths are derived.

This project involves the analysis of data to support the current AIHW–DVA research partnership. This partnership is building a comprehensive profile of the health and welfare of Australia's veteran population. Analysis will be based on the veteran-centred model (VCM) which identifies 7 domains for measuring health and welfare: housing; education and skills; employment; income and finance; health; social support; and justice and safety. The ongoing reporting of suicide rates among serving, reserve and ex-serving Australian Defence Force (ADF) personnel is a key output of the work program. 

Outputs from this research:

• Understanding the wellbeing characteristics of ex-serving ADF members

The National Disability Data Asset (NDDA) is a Commonwealth and States/Territories data linkage project that aims to provide disability data indicators through the integration of survey and administrative data assets. 

The project will investigate socioeconomic determinants of suicide. The analysis will add to a growing international literature on the importance of social determinants in suicide risk.

This project’s primary aim is to gain greater insight into the extent of the relationship between social determinants of health (including income and financial wellbeing, educational attainment, workforce participation and socio-cultural status) and health outcomes. Health outcomes include health risk factors (e.g. overweight and obesity, physical inactivity, diet, excessive alcohol consumption and smoking), chronic health conditions (e.g. diabetes, arthritis, back pain, depression, chronic obstructive pulmonary disease and asthma), and health service usage. 

This project will use MADIP to examine receipt of Medicare Benefits Schedule services and income support payments by people with disability and their carers. It is part of a broader project that seeks to improve the evidence base around the experiences of people with disability and their carers in key life areas, such as health, income, social support, employment, education, housing, justice, and safety. 

The Australian Institute of Family Studies (AIFS) has been commissioned by the Australian Attorney-General’s Department (AGD) to support the review of the Family Relationship Services Program (FRSP review). The FRSP review will need to identify the potential client populations (e.g. separated parents, divorced persons, and so on) for different types of services and areas with high levels of service demands across localities (SA3 o LGA), including areas with a fast growth in the potential client populations. The information will support the AGD to identify service needs and gaps and direct resources to the areas with greater needs. The census data will also be used to examine complex families (e.g., step/blended families, extended families), the complex family relationships may have great needs for FRSP support.

This project aims to develop sample code assets that generate standardised outputs using linked data from MADIP at the individual, family and household level; alongside the associated socio-demographic characteristics typically required for social policy analysis and research. Additionally, the project aims to produce quality training and reference material to accompany the library of codes.

This research project will explore the use of Family Tax Benefit (FTB), Paid Parental Leave Pay (PPL) and Dad and Partner Pay (DAPP), making use of linked data in PLIDA. The purpose of the research is to update knowledge of how DSS payments are being used, with a focus on FTB, PPL and DAPP. Analysis will explore to what extent payment access has changed or varies across different kinds of families. The project will also analyse take up of these payments. The initial focus is/has been on PPL and DAPP but this will be extended to FTB, with information on receipt of other DSS payments potentially important in understanding the population of recipients of FTB.

The key outcome of the data asset is that the Australian Government better understands household insurance availability, coverage and affordability and the intersection with climate and natural hazard risks and projections to help decision makers target disaster risk reduction and climate adaptation activities. 

This project will help vulnerable Australians survive future heatwaves. It will combine government data on the weather, population and health and identify which people are most at risk. The results will support the development of better government services to prevent deaths from heatwaves and other natural hazards that are expected to increase as the climate changes. 

Output from this project: 

• Case study: Reducing life lost in heatwaves

This project aims to examine an alternative, more timely, measure of socioeconomic disadvantage for areas. Examining the relationship between social security, taxable income and health service use may provide an annual indicator of socioeconomic status for areas, which could be updated to be representative of the socioeconomic situation as it evolves. This will build on the work produced in ‘Developing time sensitive measures of socioeconomic disadvantage for areas’. As part of this, the project intends to investigate geographic drivers of health outcomes not determined by currently measured social and demographic indicators. The project also intends to examine the geographic disparities in real wages.

The project aims to estimate the productivity gap between small and large businesses across different economic sectors over time. The project also aims to estimate some of the key drivers of this gap.

The project will deliver ecosystem accounts at the sub-national level to: (i) demonstrate value for policy and decision making, engage key stakeholders and increase demand for an ongoing program of ecosystem accounts; and (ii) contribute towards the longer-term goal of national ecosystem accounts by testing methods that can be scaled nationally and by increasing capacity for ecosystem accounting in Commonwealth institutions. 

This project used integrated data from MADIP and BLADE to identify opportunities for regional economic development. The Indigenous extension pilot will seek to provide land and water policy-relevant insights for Indigenous communities and industries in the Darwin region.

Outputs from this research: 

• Northern Australia

This project used integrated data from MADIP and BLADE to provide new insights into how water conditions impact socio-economic metrics i.e. taking into account the flow, volume, and allocation of water for a given purpose, and how access to water affects communities. It will prototype benefits through a data-driven, robust and repeatable approach to being able to assess how decisions about water sharing will impact or benefit community and change over time.

Outputs from this research:

• Water and Society
• Water and Society: A technical report for the DIPA PEAN Hub

National Cabinet’s agreed priority reform of ‘improving productivity and outcomes in the human services sector’ has recognised that delivering better outcomes for Australians interacting with human services has the potential to return measurable productivity gains. This project seeks to take a person-centred perspective with data from across shared portfolios to ensure users are placed at the heart of service provision. This project will deliver both a framework for mapping human services and a service mapping digital prototype with the learnings of the digital protype informing the framework. The digital protype will focus on a priority cohort of ‘at risk’ youth and data is sought to enable the identification of ‘at risk’ cohorts, to support greater data sharing, monitoring and evaluation.

The purpose of this project is to explore women’s labour force participation, with a particular focus on women who are not in the labour force (NILF).

This project investigates changes in mental health service use, individual help-seeking behaviours and barriers to access in bushfire affected communities following the 2019-20 bushfire season. This work will inform current and future disaster recovery policy and enable the Government to effectively respond to community needs following the 2019-20 bushfires.

This project provides PM&C analysts with access to integrated microdata from MADIP and BLADE, enabling up-to-date analysis and provision of timely advice to the Prime Minister's Office (PMO) on emerging policy issues, including informing COVID-19 response and recovery.

This project is designed to support the government as it prepares for Workplace Relations reform. Initial work is designed to establish key facts and figures about the make-up of the Australian Labour Market and the conditions under which Australians are working. The project will start by performing industry/sector comparisons around how employees and contractors are paid, including their working conditions, methods of setting pay and the characteristics of these businesses and employees.

This project made use of integrated data from MADIP and BLADE to explore various impacts of international migration on Australia. It aimed to contribute to the evidence base for a broad range of policies, including migration program planning, migration labour market rules, and Commonwealth revenue management.

The purpose of this project is to understand how people are faring after they cease participating in employment services programs in remote Australia. It is anticipated that this analysis will show if participants have gained sustainable employment, or experienced different outcomes such as moving to regional and metropolitan areas to look for work or are no longer in the labour force

This project will seek to develop and implement methods for imputing missing data, developing synthetic variables and validating the MADIP data asset against other sources. The project will make the imputed data sets available to other authorised users, provide sample code to replicate the methods, and develop academic publications presenting results and documenting the process. This project will result in improved coverage of key concepts needed to conduct analysis in the MADIP environment and contribute to the enduring asset. 

The Indigenous Affairs Group have identified a need for accurate and more readily available statistics on Aboriginal and Torres Strait Islander labour force status to better inform their policy work. This project will investigate the feasibility of a machine learning solution using MADIP to create more accurate labour force estimates for Aboriginal and Torres Strait Islander peoples.

This project examines the different pathways workers take when they are the subject of an industry downturn, with the aim of supporting economic structural adjustment policy measures based on the factors that limit or enable successful transitions for affected workers.

The purpose of this project is to examine the gender pay gap and explore if women within certain industries or with certain characteristics are more vulnerable to a wide wage gap compared to male colleagues with similar characteristics. The anticipated outcome from this project is to contribute to ongoing policy discussion related to women’s economic security. 

Using data from MADIP and BLADE, the project examines regional recovery from the millennium drought. The project explores a number of socio-economic factors in three drought affected Eastern Australia locations. 

This project will address the possible impact early NBN roll-out had in creating or influencing businesses and employment in regions. 

This project made use of integrated microdata from MADIP and BLADE to produce a stronger evidence base for decisions about disaster mitigation and recovery investments, with the aim to reduce future disaster impacts through better informed policies. It will combine data available across Commonwealth and State Government portfolios and enable a better understanding of costs to, and services provided by, the Australian Government to communities and businesses beyond direct relief and recovery payments in disaster affected regions. 

Output from this research: 

• Natural Disasters

This project will examine (a) how innovation and the use of IP rights impacts within-firm inequality and wage growth for different types of workers, and (b) whether inequality on various margins is causing Australian society to lose potential innovators, including by disadvantaging individuals and firms in accessing the IP system. The project will inform the design of programs aimed at increasing equitable access to government support for innovation and inform policy development for influencing productivity and wage growth.

This project investigates occupational and employment outcomes for students selecting a VET pathway. The findings from the project will help inform the educational and employment choices of Australians and provide information to governments to assist in determining the skills needs of the Australian workforce and industry.

The purpose of this project is to understand the impact of government supports and other societal drivers on increases in the prevalence of younger onset disability in Australia, with a focus on autism. These findings can inform effective design of future policy and delivery of early childhood interventions and disability supports for Australians.

The project will contribute to society’s understanding about how and which types of disability supports affect incentives and barriers to work for people with disabilities and their families and carers. A better understanding of the impact of these supports will help to guide policymakers in maximising benefits for NDIS participants whilst maintaining an effective and cost-efficient program. The project will additionally report the effects of the NDIS on persistent inequality gaps in Australia.

The purpose of the Prevalence of Disability in Australia project is to better understand the relationships between disability prevalence and demographic, health, and socio-economic factors. The aim is to provide estimates for the joint distribution of disability prevalence and socio-demographic factors, including trends over time. The results will be used to inform the projection of future NDIS participation rates and the associated expenses.

The Investment Effectiveness Program (IEP) explores the relationship between NDIS support funding (and other Government funding) and outcomes. It aims to provide the NDIA, Government and participants and their carers and families with a rich, evidence-based understanding of how effective the Scheme is, and which support types (or combinations of supports) are most effective in enabling participants to achieve different outcomes. 

The Productivity Commission is using BLADE and MADIP to help guide research in COVID-19 economic recovery. As the Commission explores structural changes and economic reform, BLADE and MADIP will help inform the potential effects across business and the Australian population.

The Productivity Commission is using integrated data from MADIP and BLADE to research the indications of vulnerable supply chains, the impacts if one of these chains were to be broken, and the potential preventative strategies to mitigate these risks. 

Thanks to rising productivity and real wages growth, each new generation has earned more income than the last at a given age and reached the same level of income earlier in life. However, incomes have grown slowly since the global financial crisis, and income growth has been particularly weak for young people. The purpose of this project is to analyse recent trends in youth income growth and what is contributing to these trends. 

In this project, the Reserve Bank of Australia will use the jobs related data (as first used by the Treasury on the Real Time Labour Market Tracker project) to monitor and research developments in the labour market. The project will provide insights on labour market transitions at a high frequency and in (almost) real time, and examine how these transitions are influenced by economic policies. In turn, this will improve the Bank’s ability to assess and forecast the degree of spare capacity in the labour market as the economy recovers from the COVID-19 shock, informing monetary policy and economic policy more broadly.

This project aims to use MADIP to better understand the dynamics of income growth and how this is associated with population characteristics. This project will provide public value by developing a greater understanding of the drivers of the distribution of income and hence the determinants of income inequality in Australia.

This project explores individual’s social, economic and health outcomes and their socio-econimic determinants by disability status and experience of violence, abuse, neglect and exploitation, using advanced statistical analyses of linked MADIP unit record data.  The results of the analyses are expected to be referenced in the final report and inform the Disability Royal Commission’s recommendations aimed at preventing and better protecting people with disability from experiencing violence, abuse, neglect and exploitation and improving lives and experiences of people with disabilities.

The aim and purpose of the project is to assist in fulfilling one of Safe Work Australia’s (SWA) key legislated functions: to collect, analyse and publish relevant data; and to undertake and publish research to inform the development and evaluation of work, health and safety (WHS) and workers’ compensation policies and strategies. This includes supporting measurement of indicators in Safe Work Australia’s ten year national WHS Strategy 2023-2033 and exploring available data for insights into emerging or acute WHS issues and trends from an employee and employer perspective.

This project aims to develop indicators and models to identify the impacts of the Basin Plan water reforms on Murray-Darling basin communities and industries in the context of multiple social economic trends and drivers.

The Water and society project uses MADIP and BLADE data to explore the relationship between water conditions (flow, volume, connectivity and allocations) and regional socio-economic and human health outcomes.

This project is intended to create a data asset that will permit analysis of competition, business dynamism and related issues such as the role of mergers and acquisitions in the Australian economy.

This project is a collaboration between the Centre for Population, Australian Treasury and the OECD investigating the use of administrative data to better understand the economic impact of overseas migration in Australia, particularly on productivity levels and local labour markets. This project will inform the Treasury Centre for Population’s program of research.

As the economy recovers from the COVID-19 shock, it will be crucial to understand developments in the labour market. While numerous datasets are currently being used to monitor the labour market, high-quality high-frequency administrative datasets are not being fully exploited. The purpose of this project is to extract greater value from MADIP and BLADE by integrating them into a data asset that can be used to monitor numerous aspects of the labour market, in as close to real time as possible. This will help to inform forecasts, and policy development and assessment, by allowing an examination of how the labour market is tracking relative to what is expected.

The research to be undertaken by the Centre will align with the following four research questions: i) What is Australia’s current population and how has it changed over time? ,ii) What will Australia’s population look like in the future? iii) What drives people to relocate? iv) What is the impact of population changes on Australia?

This project will use exploratory data analysis to better understand how people use government funded health services, by looking at patterns of Medicare Benefits Schedule used. Additionally, the project aims to understand which groups are using government funded health services, by looking at characteristics such as income, age, sex, geography and private health insurance coverage.

This project will investigate the potential of microdata from the MADIP to enhance The Treasury’s capability to analyse the interactions between taxes, transfers and Government services. A particular focus will be on the suitability of the MADIP data for use in microsimulation modelling of Government programs. 

This project is focused on analysing and evaluating sub-group mortality rates for all Australians aged over 65. It seeks to identify more meaningful predictors of mortality, which will then inform the compilation of more robust and accurate Life Tables. 

This information will support Governments in the development of retirement or social welfare policy, and the insurance and superannuation industries to create more relevant retirement income products, which could improve the financial wellbeing of older Australians.

This project uses longitudinal de-identified linked government administrative data to create a data platform that will: (1) identify groups of vulnerable children and young people within the NSW population, and highlight their poor long-term social outcomes, and the high government service and support costs required to address the needs of these groups. (2) examine the personal and family characteristics associated with poor long-term outcomes for individuals in these groups. (3) serve as an evidence-based tool to support business cases for new public policies and interventions aimed at improving the outcomes for vulnerable children. (4) Support the evaluation of the effectiveness of public policies and interventions.

The Pathways for the Future project will use MADIP to provide an end-to-end view of students’ journeys through school to employment. The project’s findings will provide young people with information about the outcomes of different educational pathways, enabling them to make more informed and individualised choices about their pattern of study and pathway into meaningful work. The research findings will also inform government policies and programs that help young people transition through the education system and find meaningful employment. This data linkage project is the extension of the previous Pathways for the Future project.

This data linkage project aims to develop an outcomes framework that could be used to measure, monitor and track the impact that early childhood education program participation has on the developmental outcomes of children in NSW. By understanding the link between early childhood education and experience in the first few years of formal schooling, this project will provide the evidence base required to identify reliable and robust measures and indicators for inclusion in the framework. Additionally, findings from the project will help inform the development of both short-term and long-term initiatives and reporting tools to measure and support the proposed outcome indicators. 

The project aims to provide empirical evidence for shaping policy and other government interventions, using ABS BLADE and MADIP datasets. It seeks to improve understanding on how employment and income have changed over time, as well as how labour market characteristics affect productivity and innovation in NSW businesses and priority sectors.

This project aims to provide young people with information to make individualised choices about their pattern of study and pathway into meaningful work. The research findings will also inform government policies and programs that help young people transition through the education system and find meaningful employment. 

The project seeks to apply the technique of neural networks to investigate long-term health outcomes among Aboriginal peoples in NSW who did not provide a response to select questions in the 2021 Census of Population and Housing. The project will seek to identify relationships between long-term health outcomes as well as social, economic, and spatial variables.

The project seeks to apply decision trees to investigate key determinants from the 2021 Census of Population and Housing on the labour force engagement of working-aged Aboriginal people across NSW. Determinants will be statistically identified and ranked to identify actionable insights for policy and other environments.

The purpose of this project is to identify and explore the factors that are consistent amongst disadvantaged and vulnerable people who go on to achieve positive outcomes. By using health and social welfare information available through the MADIP dataset we can explore what factors underlie resilience in these instances. The findings of this project will be used for support development and implementation of the NSW Government’s Human Services Outcomes Framework and to assist work improving the lives of vulnerable children and their families. 

The aim of this work is to undertake a detailed analysis to better understand the complex relationship between the social determinants and health outcomes in the Northern Territory (NT). The project intends on using data from Census 2021 (which for the first time included a question on long term health conditions), ABS health surveys, including those specific to the Aboriginal and Torres Strait Islander population, and data from MADIP. This epidemiological analysis will consider characteristics of person, place and time for key chronic conditions: demographic and socio economic, variation by remoteness and regions in the NT; and will use both cross-sectional data over time periods and where possible longitudinal data.

Measuring the innovation system is critical to understanding the impact of state and territory government policies and programs. The State of Innovation Project will provide monitoring and assessment of Queensland innovation inputs, outputs and outcomes. The BLADE and MADIP datasets will be used to conduct analysis about business innovation activities and capabilities; and analysis about workforce, occupations and skills required to drive innovation.

The project aims to use socioeconomic and healthcare data to develop indicators of health need for small geographic areas in South Australia and how these change over time. These indicators have the goal of being used to enhance the efficiency of healthcare provision in South Australia into the future.

This project will use MADIP to investigate the socioeconomic barriers to labour force participation and provide a basis for quantitative analysis of target population groups that face disadvantages in the labour market. The project will provide an evidence base that will identify socioeconomic barriers that unemployed people or people not in the labour force experience when seeking to engage in training/education or employment (e.g. level of education, carer responsibilities and health concerns). This analysis will also help to gain insights into some of the key determinants of long term unemployment in South Australia and whether there are any patterns evident in the data for those who find employment (e.g. completion of a qualification, decrease in use of health care, etc.) relative to those who find it difficult to gain employment. The data gained through this exploratory project will be used to construct a consistent process for integrating social aspects into the Department’s skills investment planning. 

The project aims to provide evidence to support SA government economic policy in areas such as industry development, workforce skills and population, international trade, modern manufacturing, innovation, and productivity. This includes creating insights and undertaking evaluations of current and previous policies, programs and initiatives.

More informed social and economic development policy and program evaluation will enhance well-being for South Australians through effective government programs. This project will investigate the drivers of well-being in the state, including early child development, socio-economic status, mental, physical and social health, as well as environmental conditions. The aim is to deliver holistic, evidence-based policy advice to the governance bodies of the state to support the ability of South Australians to thrive using the analysis and insights derived from a range of investigations conducted into these drivers. More specifically, it aims to identify areas of vulnerability in the community and improve the reach and effectiveness of services aimed at improving wellbeing and reducing inequality and poverty. 

This project will update the integration of data from the BLADE and South Australian Business Research Environment (SABRE) (formally Return to Work SA datasets) with person-level data from MADIP. The project follows successful completion of a pilot study and aims to create an evidence base to better understand overall employment and industry performance in South Australia and inform economic policy development and program evaluation. 

This project seeks access to PLIDA data on measures of socioeconomic disadvantage, such as education, employment, health, welfare, income and housing, across geographical areas. This project will allow the South Australian Government to appropriately assess work undertaken by the Commonwealth Grants Commission (CGC) in the project “CGC Time sensitive geographic measures of disadvantage”. This project will support South Australian Government policy, allowing the South Australian Department of Treasury and Finance (DTF) to undertake analysis and provide insights for relevant policymakers.

The South Australian Government is trialling a new service intervention for homeless people known as the Aspire program. In conjunction with the Aspire program, this project will utilise MADIP data to undertake analyses of disadvantaged, vulnerable and homeless population groups in South Australia, with a particular focus on their access to social security and basic medical services. This analysis will provide an important context for evaluation of the SA Aspire Program. 

Tasmania has experienced unprecedented population changes in recent years, both in terms of population growth and demographic characteristics. The changing characteristics of the people living in Tasmania have an impact on the use of government services, and the cost to provide those services. This project will use MADIP data to explore links between demographic characteristics and government service use and costs in Tasmania relative to the national population.

The ABS and the Australian Institute of Health and Welfare (AIHW) are working with the Victorian Department of Health and Human Services (DHHS) to explore ways to connect the integrated data assets held by ABS and AIHW to create enhanced research datasets without needing to duplicate the data integration work already undertaken. The mechanism for achieving this is referred to as an interoperable spine. 

To demonstrate the feasibility of the interoperable spine, Victorian Department of Health and Human Service (DHHS) data will be used to assemble a research dataset through the interoperable spine. The DHHS research will explore the different types of services that Community Health clients interact with, the socio-demographic characteristics of Community Health clients and whether there are specific cohorts in the client group. This project will assist the Victorian Government to develop better responses for Community Health clients, which recognise and respond to the specific health and wellbeing needs of individuals and communities. 

This project will support the Victorian Department of Health and Human Services (DHHS) to identify intergenerational drivers of entry into the Victorian Child Protection system. It will provide new insights from Commonwealth data and will act as a proof of concept for linking Victorian Government data with Commonwealth data. The analysis will seek to answer the question: What factors influence children and young people entering the Child Protection system including out-of-home care before the age of 5? The research will identify socio-economic and demographic protective and risk factors that influence a child’s likelihood of interaction with the Child Protection system. This analysis will be used to promote the safety, stability and development of vulnerable children, young people and their families

The purpose of this project is to identify workforce constraints in specific workforce occupations, set government budget priorities, plan for future workforce needs and support the design of reform initiatives. A workforce model has been developed that estimates the future supply and demand of workers in the Victorian social services sector. The MADIP and BLADE data will be utilised to improve the accuracy of the model. In addition, the data will be used to provide additional insights, relating to workforce retention and recruitment, migration, education and career pathways within the sector.

The project will use integrated data from MADIP and BLADE to investigate employment and unemployment impacts of COVID-19 at a granular (microdata) level to help support Australia’s economic recovery and improve targeting of employment and training programs at the State and Territory level. 

The research aims to better understand how demographic and financial drivers affect decisions in the property market in Victoria, and the resulting impact on home ownership for Victorians.

The purpose of this project is to improve on the VSA’s existing model of labour flows by estimating the yearly demand for VET graduates that is generated in the Victorian labour market at the occupation level. The current model assumes that all people changing occupations don’t need training, but all people entering an occupation from other sources will need training. The project will investigate how VET training needs vary by cohort, and build a methodology that accounts for this.

The North-West Aboriginal Housing Fund aims to create pathways towards social and economic independence and wellbeing for Aboriginal people in the Pilbara and Kimberley. The Fund will invest in projects that increase affordable, suitable and stable housing options, increase opportunities for educational attainment and job stability, and empower Aboriginal people and communities. Robust estimates (baseline and potential improvements) for welfare spending, income tax revenue and employment income are essential. This MADIP project will investigate the overall research question of: What is the economic value of social outcomes for people, particularly Aboriginal people, in the North-West region of Western Australia?

The last NT Indigenous Education Strategy (IES; 2015-2024) encouraged remote Indigenous students to attend inter- and intra-territory/state boarding in order to access senior secondary education. Anecdotally, this policy has been described as highly detrimental to a range of outcomes important to Indigenous Australians and governments. This study aims to identify the system-level impact of this policy on Indigenous student life choices, socioeconomic advantage and other outcomes.

This research aims to better understand the redistributive and social insurance role of Disability Support Pension (DSP) and implications for employment, fiscal cost, macroeconomic aggregates, welfare and inequality in Australia.

The health and wellbeing costs of informal caregiving is well known. Less is known about carers’ education outcomes as research has relied on survey data with low count numbers. This project fills this gap of knowledge by utilising Census and administrative data to compare higher education outcomes by carer status.

This proposed project aims to explore the relationship between labour force participation status and various indicators of health and social service use in both the total Australian population and selected population subgroups. There will be a particular focus on government services for various disease conditions such as mental health, cardiovascular disease, diabetes, cancer etc.

This project aims to use administrative data to build a dynamic microsimulation model of Australia’s tax and transfer system. This would deliver a durable tool for policy analysis that provides important insights on the sustainability and equity, both within and between generations, of personal tax and transfer policy settings.

This project aims to measure the effects of different durations of maternity leave taken by mothers on the educational outcomes of those mothers’ children. Specifically, it will seek to compare the outcomes of the children of high versus low education mothers.

The project will investigate the impact of diversity on companies, particularly at the senior leadership level.  This includes: (1) The level of ethnic diversity in major Australian companies (2) How diversity varies by characteristics of companies (3) How diversity is associated with financial performance (4) Potential impacts for the Australian economy.

Little is known about the employment outcomes of victims of domestic violence. This project proposes to use the Personal Safety Survey, Crime Victimisation Survey (to the extent available), and MADIP to better understand the labour market outcomes of individuals following episodes of violence.

This project will consist of a series of microeconometric essays on Australia’s labour force, focusing on the roles of cultural norms and structural change on outcomes including educational attainment, employment outcomes, and intergenerational mobility.

An income tax system with dividend imputation allows companies to pass on profit taxes to shareholders in the form of franking tax credits, which potentially eliminates double taxation of capital income. Would dividend imputation lead to more savings, investment and capital accumulation? This project aims to examine this question in a small open economy model calibrated to the Australian economy with heterogeneous firms and foreign investors.

The COVID-19 pandemic has caused substantial mortality globally, with substantial variation driven by population demographics, COVID-19 variants and public health measures. The project will describe COVID-19 associated mortality characteristics in the Australian context and assess its significance in comparison with influenza and other respiratory infection associated mortality.

This project aims to identify how asthma-related health service usage increased after the 2019/20 fire season and whether any subpopulations were more heavily impacted, even after adjusting for their level of exposure to the bushfire smoke.

Public measures such as school closures and lockdowns were implemented to fight the spread of COVID-19. These measures may affect child outcomes in the long run. This project aims to identify the impacts of these counter-COVID policies on the educational, health and wellbeing outcomes of Australian children and their families.

Australia has a unique set of labour market institutions for addressing economic inequality, most notably its system of occupational minimum wages and its job protection system. Since the 1990s these institutions have experienced changes which, combined with high quality microdata, make an ideal setting for analysing their effects. This project will evaluate the impact of minimum wages and unfair dismissal laws on wages, inequality and other firm labour market performance metrics (hiring, firing).

Using restrictive employer-employee matching micro-level data covering the universe of Australian firms and workers spanning the period 2000–2018, this project estimates causal effects of supply-driven increase in the share of foreign-born workers on Australian firms. This project uses applied econometric methods. The research hypothesis is that increase in the share of foreign-born workers increased the total factor productivity of local firms. Furthermore, these effects are significantly stronger for firms with low initial productivity and small size. The positive productivity effect of immigrants was also associated with faster growth of capital, larger exports, and higher wages for natives.  

This project will produce an analysis of Australia’s supply chain risk by identifying empirical links between shocks and business performance. Through analysing Australian supply chain risk, the project will shed light on appropriate policy interventions that build resilience at lowest cost.

The objective of this project is to examine the effects of different forms of HELP repayment structures on the behaviour of students, both during and after entering university.

This project seeks to develop a spatially fine-grained predictive model of Indigenous food insecurity in New South Wales (NSW). Using multivariate regressions and microsimulation techniques, it will identify areas where food insecurity is greatest and intervention is most needed. The model will hasten the delivery of food assistance to areas where it is most needed, both in terms of everyday food relief and emergency food relief in times of natural disaster or public health crises.

This project seeks to better understand gender differences in tax deductions and fringe benefits received by Australian workers. As well as better understanding the circumstances in which these differences arise, this project will seek to identify the underlying causes of such differences.

This project will seek to understand the key factors that predict the long-term economic success of migrants in Australia, including visa type, employer characteristics, English language skills, education, country of origin, partner status, temporary visa history, age at migration, visa fees paid, geographic settlement pattern and other demographic factors.

Natural disasters such as bushfires, floods and cyclones can have a powerful impact on the economic wellbeing of individuals and firms. In recent years, the literature on disaster preparedness and the effects of natural disasters has expanded rapidly. This project will expand this literature by estimating the effects of natural disasters on firm performance, and individual economic wellbeing. This will estimate both the short-term effects of natural disasters on labour market dynamics, as well as the medium-term scarring on key economic outcomes such as productivity, and firm innovation and digitisation. Where possible, research will also test whether certain population subgroups are more vulnerable following disaster.

This project will examine the short-term distributional consequences of Commonwealth actions to supplement incomes of millions of Australians who found their economic opportunities restricted while their essential costs of living piled up. It will focus on the recipients of JobKeeper, Jobseeker, related payments (such as Youth Allowance, Parenting payment and special benefit), and eligible Australians that gained early access to retirement savings held in their superannuation.

The project uses integrated data from MADIP and BLADE to assess how many jobs were saved under the JobKeeper policy, controlling for other business support measures that were available contemporaneously. Over time, and in addition to this objective, the datasets requested will enable a comprehensive analysis of the business support measures initiated in response to the COVID-19 pandemic. 

In response to the COVID-19 pandemic, general practice in Australia has undergone a rapid transition in the way services are delivered including the introduction of temporary telehealth items (TTHI). Using Medicare Benefits Schedule data linked to Census data, compiled through MADIP, this study will examine changes over time in GP use and costs in relation to TTHI initiatives. The study will inform current and longer-term directions for widescale integration of telehealth.

The purpose of this project is to develop and adapt methods to address possible linking errors within integrated DIPA datasets to enable valid statistical inferences. The anticipated outcome is a generic method that can be applied to ABS integrated data sets to adjust for statistical bias due to false negatives or false positives. A particular focus will be on the linkage of survey to administrative data as this will enable the research work to draw reliable conclusions on methods for accounting for statistical bias when linking survey to administrative data.

This project will exploit MADIP to learn more about income inequality in Australia. MADIP has several characteristics which enable different aspects of income inequality in Australia to be probed for the first time (relative to what is already known from data sources like Household Income and Labour Dynamics in Australia (HILDA) survey, ABS Survey of Income and Housing, the Census and the ATO Personal Income Tax sample file). The anticipated outcomes of the project will be an improved understanding of income inequality in Australia. In particular, the research team aims to learn more about the income dynamics of the top 1% of households, and the geographic causes and consequences of income inequality. 

This project aims to examine socioeconomic variation in out-of-pocket costs for medical services on the Medicare Benefits Schedule and for prescriptions under the Pharmaceutical Benefits Scheme. It will describe the distribution of these out-of-pocket costs in relation to household income to assess the extent to which payments toward health care costs are related to ability to pay, and how out-of-pocket costs vary by sociodemographic characteristics and key health conditions. This will provide information regarding equity of health care financing in Australia to inform policy and practice. 

This project aims to identify factors associated with variation in secondary prevention of cardiovascular disease (CVD) care in primary care. This will provide information to practitioners and policy makers to improve CVD management and potentially reduce the incidence of secondary CVD events in Australia. 

This project will use linked Census and mortality data within MADIP to quantify socioeconomic variation in fatal burden of major diseases in the Australian population and develop an Index of Preventive Potential to identify areas of potential health gain and prioritise clinical and public health action. The anticipated outcomes of this project include new robust evidence on variation in fatal burden of disease and an Index of Preventive Potential. 

The project will use MADIP to understand the operation and outcome of the tax, transfer (also called ‘welfare’) and health systems within Australia. The project will provide information on the geographic, demographic, and socioeconomic characteristics of the population found to relate to taxable income, income support payments, and health service usage.

This project will utilise MADIP data to estimate the earning penalty associated with qualification mismatch for workers of various ethnic groups. The research team anticipate that qualification mismatch will have varying effects on earnings for workers of different ethnic groups, with the variations reflecting qualification recognition and discrimination in the labour market. 

The aim of this project is to undertake a detailed targeted analysis of MADIP to understand the operation and outcomes of tax, transfer, and health systems within Australia. This will be followed by a detailed targeted analysis of these outcomes. 

The overall aim of this study is to investigate the relationship between socioeconomic disadvantages, health risk behaviours, and health care utilisation with central obesity among Indigenous Australian Children, and to examine the impacts of central obesity on cardiometabolic disorders among Indigenous adults (≥ 18 years). 

People living with mental illness have, on average, between a 13 and 23 year reduced life expectancy compared to the rest of the population. Understanding the interplay between socio-economic factors and mental and physical health is important when considering health outcomes of people with poor mental health. This project seeks to inform on health outcomes for people living with mental illness through measures such as death rates, causes of death and estimates of life expectancy.

This research aims to adopt machine learning modelling to predict the housing risk on the suburb level in Australia. This research will help the government and financial sector to control for the housing bubble, and further improve the stability of financial and economic system of Australia.

Using employer-employee matching micro-level data covering the whole Australian population and firms, this project examines the drivers of economic assimilation among immigrants holding different types of visas. This project uses applied econometric methods. The findings will have significant implications on the social cohesion and economic activity in Australia.

This project examines whether barriers to citizenship affect the economic and social integration of immigrants by exploiting the exogenous variation in the waiting periods for naturalisation introduced by the 2007 citizenship law reform in Australia. The findings will be important for future immigration policy changes in the residency requirement in Australia. Moreover, the results will have implications about social cohesion and economic activity in the Australian community.  

This project aims to evaluate the temporal relationship between labourforce participation, hidden unemployment and mental health. Of particular interest, is the strength of these relationships in Australian communities with historical employment dependence on ‘dirty’ energy production. The presence of any such relationships and their relative strength (compared to other regional Australian communities) is assessed over a a 20-year period, from 2001 to 2021.

This project aims to provide systematic evidence on the Social Determinants of Mental Health (SDMH) for refugee young people (aged 12-25 years). The findings will inform the development of a culturally appropriate SDMH tool and co-design (with young people from refugee backgrounds, community and religious leaders and service providers) of the prevention, early intervention and management framework focused on SDMH for this disadvantaged population group.

This research will provide up-to-date information about the prevalence and socio-demographic, sectoral and occupational associations of skills mismatch amongst temporary and permanent migrants to South Australia.

The labour market in the Territory has been characterised by low unemployment and high participation rates, coupled with a significant reliance on overseas migration to address skills shortages. Accurate data on salary rates is pivotal in setting policy and operating migration programs to fill workforce gaps. However, the existing data and analysis on occupation salaries are outdated, hindering the Northern Territory's ability to effectively undertake its policy and operational functions. Addressing this knowledge gap is essential to identify occupations potentially affected by shifts in migration policy settings.

The distribution of employment across Australian regions can reveal underlying economic structures. By determining the occupations of individuals who work in a region, areas of high specialisation and skill can be identified. This project aims to use economic complexity methods to calculate the level of complexity of SA2 regions of Australia, and the level of complexity of occupations based on place of work data. These measures will in turn be tested against regional and individual labour market outcomes.

The study aims to improve outcomes of cancer patients affected by cardiovascular disease (CVD) through greater understanding of the burden and predictors of CVD in cancer. The study will quantify CVD burden over time in term of prevalence, disability, medical services, and cardiovascular-specific medication use in the cancer population compared with the general population.

The research will provide up-to-date information about the prevalence and socio-demographic, sectoral and occupational associations of skills mismatch amongst temporary and permanent migrants to Australia, and thus contribute to the Australian Government’s Employment White Paper consultation and drafting.

This project aims to examine the effect of neighbourhoods of residences on social inclusion and health for refugees. The anticipated outcomes include an enhanced understanding of refugees' neighbourhood trajectories, the key features of the neighbourhoods, and the critical elements of neighbourhood experiences that affect refugees' social inclusion and health.

The project’s main research question is whether there are inequalities by remoteness of location in the distribution of out-of-pocket expenditure for Medicare-covered pharmaceuticals for mental health. Furthermore, if there are inequalities, the project aims to understand what the burden of this out-of-pocket expenditure is to individuals and what are its drivers.

This study aims to explore the causal impact of a change in co-payments on mental health care utilisation in Australia, including psychotherapy services delivered by psychologists and mental health medications.

The overall objective of this study is to examine the primary and specialist health service use, general health, educational pathways, training opportunities, and career trajectories of adults who have received a cochlear implant in Australia during 2011-2021.

The proposed research aims to establish innovative and advanced statistical methods to address the fundamental gaps and challenges in forecasting detailed age, sex and socioeconomic status compositions of regional mortality. It will develop methods for reconciling mortality forecasts at national and sub-national levels

This project will evaluate the impact of Paid Parental Leave on income shifting and the health and health care use outcomes of Australian women. This project will make use of MADIP and Household, Income and Labour Dynamics in Australia (HILDA) survey data.

Maintaining access to health care is critical for maintaining the health and wellbeing of all Australians. Access to care is often interrupted through transitions such as provider retirements or practice closures. This project seeks to quantify how these transitions affect access to health care and the health and wellbeing of those impacted, particularly among vulnerable communities and individuals.

Outside offers are key for obtaining promotions and salary raises. The aim of the project is to understand whether differences in job transitions between women and men contribute to the gender wage gap. In particular, we are interested in whether women’s propensity to change jobs decreases around the time of the birth of a child.

This project aims to understand how environmental factors, such as extreme heat and air pollution exposure, affect health care utilisation and spending of Australians. The project also seeks to understand how those impacts differ across individuals who vary on many dimensions including income, health conditions, and features of their local community such as access to health care.

This project aims to understand the returns to field of study in Australia. The effect of choice of field of study on earnings, job allocation, and other later in life outcomes has important implications for the study choice of future students, and for policies that allocate funding to studies or are concerned with future labor demands.

This project will quantify the impacts of major disaster events on the economic outcomes of households, and identify the population subgroups for which the impacts are largest. Results will aid in the targeting of assistance to households with the greatest need at the most beneficial stages of recovery.

The project aims to describe the socioeconomic inequity in Australian mental healthcare use, and to identify the causal pathways that drive inequities, through the application of microeconometric methods to longitudinal datasets. The project will provide greater understanding of the barriers that people face in accessing treatment and how to overcome them. Ultimately, the research should aid in the design of cost-effective policies that improve health outcomes and that reduce inequities in access.

Understanding how marginalised groups are impacted by policy changes is a fundamental consideration for allocating government health expenditure. Utilising MADIP, this project aims to assess the use of healthcare resources in marginalised groups and, where possible, use longitudinal data to assess the impact of relevant policy changes on marginalised groups in Australia. 

This project aims to develop data fusion approaches to improve income distribution statistics' accuracy, reliability, and power by combining data from multiple sources. While this project will specifically examine income distribution data and statistics, the methods developed for this project will be broadly applicable across domains.

This research aims to develop a statistical approach to understand labour markets and their characteristics. This includes identifying labour market areas and analysing factors that influence labour markets over time.

Over one million Australians are living with a cancer diagnosis. They often have complex unmet needs and require ongoing care from a multidisciplinary team. In 2016, the Clinical Oncology Society of Australia (COSA) recommended comprehensive and responsive survivorship care, in which the importance of engaging primary care services was emphasized. Using the MADIP data, this study aims to investigate the changes in models of care and health services utilisation among this population following the COSA recommendation.

There is clear evidence that a high level of spatial variation in the burden of cancer exists across Australia. However, it is not clear why these observed patterns exist. To help address this gap in knowledge, the proposed study aims to investigate the association between the spatial patterns in known cancer risk factors and the spatial patterns in cancer-related indicators by small geographical area level. Results will be incorporated into future extensions of the Australian Cancer Atlas. Findings from this study will inform the design and targeting of future interventions aimed at reducing cancer burden in Australia.

Welfare-to-Work reforms aim to improve employment outcomes and reduce welfare dependency among income support recipients. However, they may also have had unintended consequences. The Multi-Agency Data Integration Project enables measurement of (1) the long-term impacts and (2) the unintended impacts and (3) the spatial heterogeneity in the impact of reforms.

Empirical assessments of AI and automation in government services have been limited. Robodebt, in conjunction with the Multi-Agency Data Integration Project, will allow us to measure the human impact of automated welfare policy for the first time, and provide recommendations for other government agencies interested in these technologies.

Artificial intelligence (AI) and automated decision-making (ADM) technology diffusion will significantly impact future patterns of economic organisation. However, there is currently no comprehensive, systematised database on the use of AI and ADM in Australia or worldwide. Tracking the growth and development of these technologies, and concurrent changes in economic structure, will provide valuable information to strategy and policy analysis, and create an important new input into further research. This project will build a dataset measuring and mapping spatial and time series trends in technology diffusion, skill automation, labour market supply and demand, and economic structural change.

This project aims to build knowledge on the Victorian Specialist Homelessness Services (SHS) workforce in Victoria. Guided by key sector strategic documents developed by the sector and the Victorian Government, the data and insights gained will support strategic and effective investment decisions over the long term to grow and strengthen the SHS workforce. The project will support strategic goals, including increasing recruitment and retention as well as guiding the sector towards a more diverse, sustainable and suitably qualified workforce.

This project aims to understand the dynamics and causes of adversity for Australia-based diasporas' labour market, internal migration, and life outcomes. Diasporas consist of migrants and their descendants. It examines the mechanisms underlying adversity: adverse micro-level events and employment disadvantages connected with settlement locations, social security and Medicare access variation, and parental adversity on children's entrepreneurship.

The project aims to provide a comprehensive assessment of the current data framework in relation to the Australian seafood workforce, make recommendations for improving it, and develop a baseline workforce dataset. The focus will be on the potential to use existing sources of data (particularly administrative data collected by government institutions) and how and when those need to be effectively complemented with additional data.

Exposure to extreme heat is associated with negative health outcomes, particularly among children and older people. This project will provide a comprehensive national picture of extreme heat risk among Australian children and older people for different geographical regions nationwide; quantify the contribution of extreme heat to the observed health outcomes; project future disease burden under different climate change scenarios; and explore mitigation and adaptation strategies in consultation with healthcare providers.

The purpose of the project is to provide a detailed assessment of the pattern of inequities, policies and practices driving the increasing health inequalities and determine those likely to reverse it. One of the project aims is to produce a comprehensive health profile including analysing key social determinants of health.

This project investigates how the journalism occupation has changed in the past decade. The news industry is becoming more precarious with an increase in the number of journalists taking freelance jobs because it is harder to land permanent jobs, reflecting a rapidly changing nature of the profession.

This project aims to advance knowledge of Australia's creative economy through consolidating existing and developing new methods to address increasingly urgent questions about the value of this significant but poorly understood sector. It is significant because it aims to demonstrate methods for capturing a range of creative activity currently at the margins of traditional measurement. Expected outcomes, which will benefit both academic debate and industry partners, include enhanced understanding of pandemic impacts, secondary and other employment, the efficacy of volunteering and pre-market creative labour signalling, and the contribution to innovation of creatives working outside the creative industries.

This project seeks to answer several policy questions about disability benefits: (1) What are the effects of disability benefits on work, consumption, and health? (2) Through what channels do disability benefits affect work activity-primarily through the transfer of income (income effect) or through rules that prohibit work (incentive effect)? (3) What are the effects of work requirements and other requirements on disability receipt and the work activity of individuals with disabilities?

The goal of this project is to understand how international trade shocks (and potentially other shocks, like climate changes) affect regional markets in Australia over different time horizons through the investment decisions of firms and workers. It combines new theoretical and empirical frameworks to uncover the mechanisms that determine the physical and human capital adjustment of firms and workers in different regions following changes in the cost of imported goods and demand for exported goods. 

This project aims to understand the complex interactions between macroeconomic conditions, higher education, student loans, individual labour market outcomes and firm performance, using a combination of causal analysis and structural dynamic models. Topics include: (i) Effects of student loans on individual outcomes and firm-level productivity, (ii) Effect of commodity prices on educational outcomes and long run productivity (“human capital dutch disease”), (iii) Measuring macroeconomic returns to higher and vocational education.

This study aims to track the epidemiology, prevalence, trends in incidence, priority populations, and geographic distribution of chronic viral hepatitis infection in Australia. The findings will inform strategies to improve access to prevention and care for those affected or at risk. It also aims to measure current progress in hepatitis B and C screening, diagnosis, treatment and care uptake, against the targets outlined in Australia’s National Strategies.

The project investigates how poverty, limited opportunities, and other factors come together to create disadvantage. We want to understand how these factors affect different communities, why some progress while others struggle, and how governments and NGOs can help overcome disadvantage.

This project will investigate whether increases of minimum wage rates for junior workers in Australia result in labour market distortions or employment discrimination. This will be analysed via a regression analysis, with the identification of the model being based on comparing the labour market outcomes of workers observed before and after the minimum wage increases (which coincide with workers’ birthdays).

The EDGE study aims to evaluate the impact and effectiveness of Victoria’s implementation of universal 3-year-old kindergarten and investigate whether it reduces the developmental gap between advantaged and disadvantaged children at school entry. It will particularly focus on breaking cycles of disadvantage for the most at-risk children.

This project aims to analyse the impact of the 2017 Marriage Act amendments on the labour force outcomes, and structure of sexual-minorities via potential distributional changes to wage-earnings and within-household specialisation. The result of this research will help understand how the labour force outcomes of sexual minorities are impacted by institutional policies through the legitimisation of their relationships and develop further understandings of the relationship between legislative change and evolving societal attitudes.

This project seeks to assess the quality of specific information reported on death certificates against risk factors measured in the National Health Survey and develop improved methods to measure the relative contribution of co-morbid conditions to mortality. The project also will use multiple cause of death data to assess the impact of the COVID-19 pandemic on mortality in Australia and measure socio-economic and geographic inequalities in specific and clusters of causes of death.

This project will explore the geographical dimensions of economic disadvantage with a focus on social housing. The results will help understand: (1) Who is experiencing disadvantage? (2) Is social housing targeting communities in need? (3) What are the effects of social housing on human capital? Are they evenly distributed? (4) Does social housing decrease the reliance on other welfare programs? (5) What are the factors driving transitions in and out of social housing?

This project will estimate the effects of the 2011 floods in Brisbane on internal migration, employment, earnings and income, and study the role of the social security benefits as a safety net for affected households. It will compare people living in flooded and non-flooded areas and study differences between low- and high-income suburbs.

This Project aims to understand the interrelationship between socioeconomic, family status, employment, private health insurance, government assistance, and health. 

This project will explore the health-effects of social and economic disadvantage experienced by people with disabilities in Australia. This work requires longitudinal information in order to establish cause and effect. For the first time, the project will be able to connect disability information with health outcomes to describe health inequalities for people with a disability and how these inequalities are changing over time. The MADIP data can transform the quality of evidence and enable better targeting of policies and services.

About 30% of Australia’s population is overseas-born (ABS, 2021). Migrants contribute significantly to the Australian economy, nonetheless, information about them, especially those in business, is sparse. This project aims to address this knowledge gap by studying the interrelationships among personality characteristics, business strategies and outcomes for immigrant entrepreneurs (IE) in Australia, and their contribution to regional economic resilience.

This project aims to determine the type and number of antihypertensive medication formulations prescribed and used over time among people diagnosed with hypertension as identified in the National Health Survey data. Where possible we will quantify treatment adherence, and determine how medication use and types of prescriptions relate to mortality.

This project studies the uptake of the Home Equity Access Scheme (HEAS) over time and the scheme’s impact on retirement outcomes. The project aims to identify external factors and individual characteristics driving HEAS utilisation and develop optimal strategies for using public and private reverse mortgages in a life cycle framework.

The Australian welfare system has means tests at the family level and assesses income and benefits fortnightly. This project aims to study how these temporal and within-family means tests affect welfare claiming, labour supply and income within family and over time.

Recent migrants, refugees and people from culturally diverse backgrounds are vulnerable groups in Australia. They often present with advanced cancer and have limited access to services. We will study the cancer outcomes and access to cancer care in these populations, compared to the rest of NSW cancer population. 

Teachers are the most important input for the educational outcomes of children. Better pay is necessary but focusing only on it overlooks the fact that teachers are also intrinsically motivated. Merely raising wages risks triggering unintended negative consequences due to poor understanding. This project closes this knowledge gap, contributing fundamental insights for policy design.

This project is an impact evaluation of three Australian government funded carer support programs: the Integrated Carer Support Service (ICSS), publicly known as Carer Gateway, the Young Carer Bursary Program (YCBP) and Young Carers Network, and the Tristate Carer Vocational Outcomes Pilot Program (TVCO), publicly known as Your Caring Way.

The population-level uptake of cervical cancer prevention is not well understood for vulnerable girls and women. Available evidence indicates lower coverage for women with disability, socio-economic disadvantage, and Aboriginal and Torres Strait Islanders. We will estimate the coverage of human papillomavirus (HPV) vaccination and cervical screening overall and for population subgroups. We will also examine associations between coverage and person-, family-, geographic- and school-level factors, missed opportunities for vaccination and cervical screening, and treatment pathways.

The project aims to review current metadata for higher education data available in PLIDA and inform and improve further metadata development.

This project aims to analyse mental health service use by Aboriginal and Torres Strait Islander and non-Indigenous residents of South East Queensland to explore equity of access to Medicare-subsidised mental health care and support for psychosocial disability under the National Disability Insurance Scheme.

Inequities in access to mental health services by Indigenous populations exist in Australia. To better understand the factors influencing how Indigenous people use mental health services, this study draws on the ABS microdata and employs a Multi-Level Regression (MLR) method to examine the effects of the urban environmental contexts on mental health service engagement by Indigenous populations in South East Queensland (SEQ).

The project's aim is to better understand the links between health literacy, health related behaviours, use of health services and health outcomes. Many people engage in health behaviour practices that can be personally and publicly costly. A number of modifiable characteristics, such as health literacy, impact on these behaviours which can contextualise and inform future supportive interventions

This project aims at obtaining a deep understanding of the investment decisions of businesses and individuals in the presence of tax incentives and at exploring the indirect implications tax policies can have on innovation and growth in Australia.

This project is funded by the Australian Research Council and aims to improve understanding and forecasting of internal and international migration in Australia. This will be achieved by evaluating existing methods, understanding related factors, and exploring visa transitions to develop a better accounting framework. Approaches developed will be suited to the needs of Australian practitioners. 

By linking National Health Survey with Medicare Benefits Schedule, Pharmaceutical Benefits Scheme and Death Registrations, the project aims to explore the associations between modifiable lifestyle factors and mortality in Australian adults. Another aim is to estimate whether medical service and medication use play a role in the associations.

This project is a flagship initiative of the ARC Centre of Excellence for Children and Families over the Life Course (the Life Course Centre), in partnership with the Department of Social Services (DSS). It aims to assess the long-term outcomes (education, employment, receipt of income support, and health) of participants in the interventions under the Try Test and Learn (TTL) Fund. 

This project aims to utilise income tax data, Medicare Benefits Schedule, and data from the death registry to determine the effect of the Medicare Levy Surcharge on the adoption of private health insurance and individual mortality. Identifying a relationship between tax incentives and mortality can highlight the inequities present in the access to healthcare.

This project seeks to reduce state government revenue risks and improve resource management through accurate predictions of land values. The first phase of the project involves the analysis of MADIP and BLADE data. 

This project examines firms in deindustrialising troubled regions and why we observe differences in their growth and survival between regions. Every regional economy in Australia is comprised of a mixture of firms serving different markets and with different relationships to one another. The interactions between different types of firms are complex and interdependent, so this research will gain a new understanding of the nature of these interactions and the implications for regional growth trajectories.

This project will investigate the patterns, risk factors and outcomes of medication use (and related health services) in the Australian community so that interventions can be developed to improve patient access to needed medicines and thereby health outcomes.

This project aims to compare the all-cause and specific-cause death rates of Australian farmers, farm managers and farm workers (including agricultural mobile plant operators) aged 25–74 years, with other Australians from 2011 - 2021.

This project will investigate the patterns, risk factors and outcomes of precision medicine testing (and related drug treatments and/or health services following testing) in the Australian community so that interventions can be developed to improve patient access and outcomes.

This project investigates the impact of superannuation, tax and transfer policies on the individuals and households’ economics outcomes (i.e. work, saving, retirement). We will use quasi-experimental techniques and structural modelling to estimate the causal effects of these policies on outcomes of interest.

This project investigates the impact of major Australian public policies on the financial wellbeing and economic outcomes of Australians at different points of the lifecycle. We will use quasi-experimental techniques and structural modelling to estimate the causal effects of these policies on outcomes of interest, both by studying individual policies aimed at certain age brackets (e.g., paid parental leave, superannuation) and how those policies interact and affect outcomes in other age brackets (e.g., the effect of paid parental leave on superannuation accumulation).

Older adults often have multiple co-existing medical conditions and take multiple high-risk medications. This places them at an increased risk for inappropriate prescribing and adverse drug events. Prescribing disparities may also exist for certain patient subgroups. This study will investigate the patterns, risk factors and outcomes of high-risk medication use in older adults so that interventions can be targeted to those patient groups most at risk in the community.

This project intends to understand the effect of Australia's Age Pension income means-test on late life labour supply and its effect on taxation revenue. It will estimate the reduction in labour supply of female Australians around the pension eligible age, the reduction in taxable income and tax revenue due to the income means-test of the Age Pension.

This project aims to evaluate the impact of 2012 policy changes to the Disability Support Pension (DSP) on labour force participation. It will test whether the relaxation of the cap on total working hours in access to DSP will increase disabled individuals' labour supply and to estimate how many more hours and how much more income.

This project aims to identify, map and analyse the distribution of social, economic and health inequities between disabled and non-disabled Australians. Using the integrated data available in MADIP the project will map and track indicators of social, economic and health outcomes of working age people with disabilities compared to people without disabilities at an aggregate level across Australia. The project also intends to identify the determinants of inequalities in social, economic and health outcome between disabled and non-disabled Australians. 

This project aims to demonstrate how government administrative data can be used to improve wellbeing outcomes by addressing limitations with existing data sources. These data are often not detailed enough to inform regional indicators of wellbeing, nor to analyse outcomes for population sub-groups. This project will focus on the material wellbeing of Tasmanian children, particularly on the distribution of incomes, and hopes to provide better estimates of the incidence of child poverty.

In Australia, government mandates played a crucial role in promoting widespread vaccination. These mandates, unprecedented in the general adult population, impacted the lives of millions, affecting up to 75% of the workforce. Governments favoured mandates because they are simple and affordable to execute. This study aims to evaluate the impact of COVID-19 vaccine mandates and their removal, providing policy guidance for future pandemic preparedness and routine immunisation programs.

This project is part of a larger research area of Centre for Research Excellence in Value Based Cancer Care which was awarded in 2019 (NHMRC). This project will provide estimates of the true economic cost of cancer to individuals, government and society. Using a quasi-experimental method, the project will estimate the impact of cancer as a ‘health shock’ on their labour market, income and welfare payments, as well as direct treatment costs incurred. The project will also evaluate the contribution of differences in cancer treatment to known inequalities in prognosis and outcome due to socio-economic status, cultural diversity, and rural/remote residence, using the MADIP. 

This project uses integrated data from MADIP and BLADE to investigate how microeconomic shocks affect the macroeconomy. The analysis measures the extent to which shocks to important sectors propagate and amplify via other sectors of the Australian economy that are dependent on one another. Quantifying the aggregate impact of sectoral interdependence is important for both microeconomic and macroeconomic policy.

This project will explore factors driving the demand for private health insurance in Australia. It also aims to examine the impact of having private health insurance on health care use and health outcomes of Australians. This project requires longitudinal data in order to establish causes and effects. Anticipated outcomes from this project include providing a robust evidence base for ongoing policy discussions related to private health insurance enrolments, health care use and the health of Australians.

The Centre for International Research on Education Systems (CIRES) and the Mitchell Institute (MI) at Victoria University have been contracted by Early Childhood Australia (ECA) to develop an index of early childhood community vulnerability. The index will provide an estimation of children’s vulnerability with respect to early years learning across Australia’s local communities. This index will be used by ECA to support early childhood services through the Be You initiative (i.e. the National Mental Health in Education Initiative). The index and associated report will be submitted to ECA at the end of the project.

This project aims to examine whether the population-based tobacco control intervention is more effective in increasing average life expectancy among Australians compared to a high risk tobacco control intervention or a combination of the two when smoking prevalence is reduced to 10% and 0% respectively.

This research will involve the analysis of data in MADIP for a project aimed at investigating and quantifying the extent of overdiagnosis of melanoma and keratinocyte cancer in Australia. 

There is currently a lack of comprehensive national data on brain cancer treatments and associated outcomes in Australia. This project will explore integrated data to investigate treatment patterns for surgical, radiotherapy and chemotherapy treatment services among persons dying from primary malignant brain cancer within the Australian population. This project will improve our understanding of treatments applied for people with brain cancer.

The project aims to identify demand among children aged 0-12 years for mental health support and the availability of the corresponding workforce and services (by profession, service setting and location). This project will utilise data sources to enumerate these aims and help identify risk and protective factors for children and families.

The research will have both a long-term and short-term focus: 1. Micro dimensions to the productivity and wage slowdown: how did within-firm productivity (e.g. technology), labour and capital reallocation and net entry shape pre-pandemic trends and what are the opportunities for future growth? And 2. Which firms and workers are most sensitive to economic shocks? What is the distributional impact of large-scale events (e.g. COVID-19 downturn) on workers and businesses? How does this vary over different time horizons and across different qualities of matching between workers and businesses? 

This project will use PLIDA data to understand the profile of current and future NDIS participants who use/will use intensive living supports, and who use/will use disability accommodation. This will help evaluate the effect of policies to improve outcomes and/or reduce costs from housing and living supports.

This project will look at how access to medical specialists varies across the Australian population and its effect on health outcomes. The dimensions of access we are interested in include the availability of specialist services and frequency of use, cost (government-subsidised and out-of-pocket), and its relationship with the usage of other health services and medication prescriptions.

Chronic health conditions remain a leading cause of death and disability in Australia. Continuity of care across the health system and adhering to optimal care pathways (including prescribed medications) can improve patient outcomes and health system sustainability. However, there are disparities between people’s experiences of care continuity and adherence to optimal care pathways.

This project explores the utilisation of temporary migration in the Australian labour-force and the effects of temporary migration on individual and firm-level outcomes. This analysis will explore labour-market characteristics of businesses which employ high rates of temporary migration; how firm-level characteristics change leading up to, and in response to, higher levels of temporary migration; and characteristics temporary migrants over time, compared to similar workers, and relative to salaries initially nominated by employers.

The project will examine how Australians of different educational background (qualification level and field of education) move across income quantiles over time. 

This project is interested in tracking the careers of school teachers in Australia in comparison with other professions such as nursing and medicine. It will also investigate teacher welfare by understanding how often people leave teaching, and where people who depart teaching go. 

This project will use data from the National Health Survey and other MADIP datasets to understand relationships between social determinants and mental health outcomes.

This project aims to identify differences in social and economic outcomes for LGA’s in regional Australia. The analysis will compare outcomes between regional LGAs, but also between regional LGAs and urban LGAs. The project will include, but not be limited to, analysis of the wage differential in regional and urban areas; migration; housing; and wellbeing.

This project will use MADIP data to explore factors driving the demand for private health insurance in Australia. It also aims to examine the impact of having private health insurance on health care use and health outcomes of Australians. Anticipated outcomes from this project include providing a robust evidence base for ongoing policy discussions related to private health insurance enrolments, health care use and the health of Australians. 

The project aims to develop high-quality small area geographic models of everyday legal problems, enabling service providers and policy makers to make better informed decisions regarding service design and allocation of resources.