MULTI-AGENCY DATA INTEGRATION PROJECT (MADIP) RESEARCH PROJECTS
All projects that use MADIP data must go through a rigorous assessment and approval process, managed by the ABS. Only authorised researchers will be granted access to de-identified MADIP data for policy analysis, research, and statistical purposes.
All projects are assessed under the Five Safes Framework. For a project to be approved, the ABS and the data custodians (the agencies that collect the data) must agree to the proposed use of the data. The project must be assessed as being in the public interest and be in accordance with the legislation of the relevant agencies. All users are legally obliged to use data responsibly for approved purposes, comply with the conditions of access, and maintain confidentiality of data.
To enquire about any of the projects listed below, including potential research collaboration, or to apply for access to MADIP data, please email firstname.lastname@example.org.
Below is a list of approved research projects that use MADIP data, listed under the following categories:
This page will be updated on a quarterly basis.
Australian Bureau of Statistics
Multi location businesses project (2019)
The Multi-location Business Problem is the name given to the problem in which large, complex, multi-location businesses tend to report their business activity from their head office. As a result, business data is heavily biased to the location of the head office, when in actual fact much of the business activity may be taking place elsewhere around Australia. This project seeks to take the first steps towards potentially resolving this problem. This project is for internal research and development purposes only.
Administrative data research for the 2021 Census of Population and Housing (2019)
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.
Education outcome and choice for productivity analysis (2018)
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.
Feasibility studies: using microdata from the MADIP to help inform and evaluate government products and services relating to Disability, Ageing, Carers, and Mental Health (2018)
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.
Validating government payments benchmarks for use in the ABS Survey of Income and Housing (2018)
This project will compare and contrast 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.
Australian Government Department of Education and Training
The First Five Years: What makes a difference (2019)
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 particular 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.
Drivers of Poor Learning (2019)
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.
Application of the Investment Approach to Tertiary Education (2019)
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 return on investments are improved. Among other outcomes, this project intends to use data from available MADIP datasets 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.
Measuring the social return on investment from education and training (2018)
This DIPA funded 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.
Better understanding the impact of health and social factors on the transition from education to work (2018)
This project aims to understand the significant social and health risk factors identified in MADIP that prevent Australians from completing their tertiary studies and transitioning from tertiary education (including Vocational Education and Training and university studies) to employment.
Benefits of educational attainment (2018)
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.
Direct measure of capacity to contribute (CtC) for non-Government funding (2018)
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 Multi-Agency Data Integration Project (MADIP) for the National School Resourcing Board (NSRB). This 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.
Socio-economic characteristics of school catchments – exploratory analysis (2017)
This project was to investigate different models for estimating the socio-economic characteristics of non-government school catchments. This 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.
Australian Government Department of Environment and Energy
Socioeconomic analysis to support a healthy environment, strong economy and thriving community (2019)
This project will create standard socio-economic indicators to generate insights to improve the delivery of investments for the Department of the Environment and Energy. For the first time, the Department of the Environment and Energy 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.
Indigenous environmental programs: social economic analysis (2019)
This project will assess, discover and synthesise new evidence in existing government datasets that highlights the return on investment from Australian Government support for Indigenous environmental programs.
Australian Government Department of Finance
Preparation of costings in accordance with the charter of budget honesty (2018)
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.
Australian Government Department of Health
Healthy Mind, Healthy Body: Physical and social impacts of poor mental health (2019)
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.
Suicide Prevention Analytics (2019)
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.
Use of government services by older Australians (2018)
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 duplication and gaps, and unintended outcomes when services are looked at as a whole.
Variation in opioid use (2018)
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.
GP supply and demand (2017)
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.
Australian Government Department of Social Services
The prevalence and impact of mental health disorders on income support and student outcomes (2018)
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.
Exploration of characteristics of disadvantage (2018)
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.
Occupational characteristics of welfare (2017)
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.
Australian Institute of Health and Welfare
Experiences of people with disability (2018)
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.
Commonwealth Scientific and Industrial Research Organisation (CSIRO)
Integrated Analysis for Sustainable Regional Development: Northern Australia with Indigenous extension (2018)
This project demonstrates the use of data 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 of the Darwin region.
Water and society: the relationship between water conditions and regional socio-economic and human health outcomes (2018)
This project will 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.
Bureau of Meteorology
Reducing life lost in heatwaves (2019)
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.
Department of the Prime Minister and Cabinet
Migration’s impact on Australian society (2019)
This project will explore various impacts of international migration on Australia. It will aim to contribute to the evidence base for a broad range of policies, including migration program planning, migration labour market rules, and Commonwealth revenue management.
Outcomes for Job Seekers (2019)
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.
Imputation from MADIP (2019)
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.
Pathways for workers affected by industry downturn (2018)
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.
Examination of the gender wage gap (2018)
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.
Recovery or decline? Examining the socio-economic impacts of drought (2018)
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.
Characteristics and outcomes for businesses and employment in regions with early NBN rollout (2018)
This project will address the possible impact early NBN roll-out had in creating or influencing businesses and employment in regions.
Compare health service use by Aboriginal and Torres Strait Islander people and non-Indigenous people (2017)
In this project, MADIP data was used to explore Medicare expenditure by Aboriginal and Torres Strait Islander people. Additionally this data was used to examine health services use by Aboriginal and Torres Strait Islander people compared with non-Indigenous people, disaggregated by geographic region.
Explore characteristics and circumstances of Aboriginal and Torres Strait Islander people who report being unemployed and are not engaged with the welfare system (2017)
This project uses MADIP data to examine the characteristics of Aboriginal and Torres Strait Islander people who have no reported income; that is, working-age adults who are not employed and not engaged with the welfare system. The findings from this project will inform Governments and service providers in developing policies and delivering programs to improve employment, health, and social outcomes for Aboriginal and Torres Strait Islander people.
Supporting development of a natural disaster impact forecasting capability (2018)
This project will 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.
The Murray-Darling Basin Authority (MDBA)
Water and Society Extension Project (2019)
The Water and Society project will explore the relationship between water conditions (flow, volume, connectivity and allocations) and regional socio-economic and human health outcomes.
Reserve Bank of Australia
The distribution of income growth in Australia (2018)
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.
Exploring the use of government funded health services (2018)
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.
Benefits of MADIP microdata for microsimulation modelling (2017)
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.
Australian Life Tables: Retirement Income Sub Tables - Australian Government Actuary (2017)
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.
New South Wales Department of Industry
Pathways for the future: Reform project (Stage 2) (2018)
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.
New South Wales Treasury
Pathways to success - Understanding positive trajectories for vulnerable people (2018)
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 proposed 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.
South Australian Department of Treasury and Finance
Understanding welfare trajectories for homeless and vulnerable people (2018)
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.
South Australian Department of Innovation and Skills
Socioeconomic barriers to labour force participation (2019)
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.
Victorian Department of Health and Human Services
MADIP Interoperable Spine Demonstration Project - DHHS Community Health Future Directions (2019)
The ABS and the Australian Institute of Health and Welfare (AIHW) are working together 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 Victoria’s government to develop better responses for Community Health clients, which recognise and respond to the specific health and wellbeing needs of individuals and communities.
MADIP-Vic DHHS Child Protection Project (2019)
This project will support the Victorian Department of Health and Human Services 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
Australian National University
Study of Income Inequality (2019)
This project will exploit newly available 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 HILDA, 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.
Filling in the picture: Utilising MADIP to understand equity with Australia’s tax, transfer (welfare) and health systems (2018)
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.
Qualification mismatch and earnings (2018)
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.
Filling in the picture: Utilising MADIP to understand equity within Australia's tax, transfer and health systems (2017)
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 effects of paid parental leave take-up on income shifting, and the health and healthcare use outcomes of Australian women (2018)
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) data.
Healthcare resource use patterns in marginalised groups in Australia (2018)
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.
University of Melbourne
Disability and the social determinants for health in Australia (2018)
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.
University of Sydney
Mapping inequities for people with disability (2018)
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 platforms 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.