Australian Climate Services (ACS) Data Evaluation (2021)
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.
Feasibility of Simulating MADIP and BLADE Data (2021)
This project assesses the feasibility of creating simulated microdata that preserves key relationships between variables in MADIP and BLADE while maintaining data confidentiality.
Assessing the quality: PITMID to MADIP (2021)
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.
COVID-19 Aggregate and modelled outputs (2020)
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.
Direct Measure of Capacity to Contribute (‘CtC’) for Non-Government School Funding Model (2020)
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.
Sociodemographic factors associated with pancreatic cancer (2021)
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.
Childhood Integrated Longitudinal Dataset (CHILD) Pilot Project (2020)
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.
Census-based estimates of population (2020)
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.
Using linked data for efficient sample design for ABS household surveys (2020)
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.
Adding homelessness flag to MADIP 2016 Census dataset (2020)
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.
Proof of Concept for National Crime and Justice Data Linkage Project – Justice and Tax Linkage (2020)
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.
Using linked data to investigate non-response and mode choice for ABS household surveys (2020)
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.
Small Area Wealth Modelled Estimates (2015-16 Survey of Income and Housing) (2020)
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.
Sociodemographic factors associated with lung cancer (2020)
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.
Quality investigation for Survey of Disability, Ageing and Caring (SDAC) 2018 linkage into MADIP (2020)
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.
Feasibility Study: Linkage of National Disability Insurance Scheme (NDIS) data to the MADIP (2019)
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.
Multi Location Businesses Project (2019)
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.
Showcasing the use of the National Health Survey (NHS) and MADIP datasets (2019)
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.
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 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.