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Socio-Economic Objective : Health Inequalities
Field of Research : Panel Data Analysis
Australian State/Territory : VIC
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  • Funded Activity

    Discovery Projects - Grant ID: DP140102614

    Funder
    Australian Research Council
    Funding Amount
    $428,000.00
    Summary
    Living on the Margin: The Relationship between Mental Health and Work in Australia. This project will assess the relationship between Australians' mental health and their work, for example, employment status, work conditions and hours. The study is the first to exploit the detailed timing of mental health and employment transitions to identify whether poor labour market outcomes lead to poor mental health or whether the reverse is true. New Australian data will be used to understand whether the .... Living on the Margin: The Relationship between Mental Health and Work in Australia. This project will assess the relationship between Australians' mental health and their work, for example, employment status, work conditions and hours. The study is the first to exploit the detailed timing of mental health and employment transitions to identify whether poor labour market outcomes lead to poor mental health or whether the reverse is true. New Australian data will be used to understand whether the link between mental health and work adds to the economic vulnerability of families and those at risk of homelessness. The results will advance our understanding of the way that mental health affects overall economic well-being and will inform current policy initiatives to promote economic participation and good mental health.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE180100438

    Funder
    Australian Research Council
    Funding Amount
    $402,996.00
    Summary
    Children's time investments, cognitive development and health. This project aims to understand time investment decisions of children and adolescents. There is a need for more robust evidence on the combination of time investments that improve early cognitive skills and well being. Using advanced econometric techniques and longitudinal data, this project expects to generate new knowledge on how children and adolescents spend their time, and how such time investments affect their health and cognit .... Children's time investments, cognitive development and health. This project aims to understand time investment decisions of children and adolescents. There is a need for more robust evidence on the combination of time investments that improve early cognitive skills and well being. Using advanced econometric techniques and longitudinal data, this project expects to generate new knowledge on how children and adolescents spend their time, and how such time investments affect their health and cognitive development. Expected outcomes of this project include a greater understanding of the early determinants of health and economic inequalities. This will contribute to the development of effective policies for improving educational outcomes, preventing harmful behaviours and promoting health and well being.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200102295

    Funder
    Australian Research Council
    Funding Amount
    $513,835.00
    Summary
    Microeconometric Analysis of Socioeconomic Inequity in Mental Healthcare. The project aims to describe the extent of socioeconomic inequity in Australian mental healthcare use, identify the causal pathways that drive inequities, and conduct economic evaluations of programs aimed at increasing healthcare access. Microeconometric methods will be used to analyse large, longitudinal datasets that have not previously been used for this purpose. The project expects to provide a greater understanding o .... Microeconometric Analysis of Socioeconomic Inequity in Mental Healthcare. The project aims to describe the extent of socioeconomic inequity in Australian mental healthcare use, identify the causal pathways that drive inequities, and conduct economic evaluations of programs aimed at increasing healthcare access. Microeconometric methods will be used to analyse large, longitudinal datasets that have not previously been used for this purpose. The project expects to provide a greater understanding of the barriers that people face in accessing treatment and how to overcome them. Such understanding is currently missing from academic literatures and policy inquiries. Ultimately, the research should aid in the design of cost-effective policies that improve health outcomes and that reduce inequities in treatment access.
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