Discovery Early Career Researcher Award - Grant ID: DE130100255
Funder
Australian Research Council
Funding Amount
$362,895.00
Summary
How costly is an unhealthy start in life? An econometric analysis of childhood health and adult prosperity. Knowledge on the consequences of poor health is crucial for effective allocation of public health funds. The project will investigate the long term costs of poor childhood health by quantifying the impacts of childhood illness on future economic prosperity. The analysis will employ advanced statistical techniques and high quality Australian data.
Economic Reform and Australian Electoral Decision Making. Australia has undergone dramatic economic, demographic and social change in the past twenty years. This project will investigate how these changes have impacted upon elector behaviour. With compulsory voting, comprehensive census data and the Australian Election Study an uniquely detailed dataset can be constructed. This dataset and the application of ?cutting edge? statistical techniques from the fields of cohort analysis and discrete ch ....Economic Reform and Australian Electoral Decision Making. Australia has undergone dramatic economic, demographic and social change in the past twenty years. This project will investigate how these changes have impacted upon elector behaviour. With compulsory voting, comprehensive census data and the Australian Election Study an uniquely detailed dataset can be constructed. This dataset and the application of ?cutting edge? statistical techniques from the fields of cohort analysis and discrete choice modelling will allow for the untangling of various influences on voter behaviour. With compulsory voting many biases due to voter turnout issues will be avoided making this project an unbiased test, with international interest and significance, of voter behaviour.Read moreRead less
Efficient pooling of cross-section and time series data using Bayesian machine learning with two econometric applications. In this project, we adapt a Bayesian modelling strategy, namely the minimum message length principle, to the problem of efficient partitioning of economic units, such as firms or countries, into groups whose behavioural patterns are similar within each group but distinct across groups. This methodology can incorporate the requirements of economic theory. The resulting softwa ....Efficient pooling of cross-section and time series data using Bayesian machine learning with two econometric applications. In this project, we adapt a Bayesian modelling strategy, namely the minimum message length principle, to the problem of efficient partitioning of economic units, such as firms or countries, into groups whose behavioural patterns are similar within each group but distinct across groups. This methodology can incorporate the requirements of economic theory. The resulting software will be developed for the Web. We consider two specific applications, namely modelling gasoline demand in OECD countries, and finding the foreign factor with the most predictive power for the growth rate of the Australian economy. The second application is of considerable national interest.Read moreRead less
Insecure Work and the Mental Health of Workers and their Families. This project aims to explore the relationship between insecure work and mental health by applying advanced econometric methods to large survey and administrative datasets, and newly collected survey data. This project expects to provide causal policy-relevant estimates of how insecure work is affecting the wellbeing of workers and their families, and for whom the effects are most harmful. It also expects to inform on how poor men ....Insecure Work and the Mental Health of Workers and their Families. This project aims to explore the relationship between insecure work and mental health by applying advanced econometric methods to large survey and administrative datasets, and newly collected survey data. This project expects to provide causal policy-relevant estimates of how insecure work is affecting the wellbeing of workers and their families, and for whom the effects are most harmful. It also expects to inform on how poor mental health influences the types of jobs that people enter into. This should provide significant benefits, including evidence needed to improve existing workplace and employment programs, and evidence ensuring that assistance is efficiently targeted to those workers and industries with the greatest need.Read moreRead less
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.Read moreRead less
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.Read moreRead less
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.Read moreRead less
A cohort analysis of the demand for meat and the impact of food scares. Australia is the largest beef exporter in the world. In 1999, there were 22.7 million beef cattle, producing 2 million tonnes with a gross value of $4.4 million. To date, Australia has been unaffected by the growing number of major health scares currently plaguing many European and South American countries. Equivalent scares in Australia would be devastating and hence research into the impact of scares on the behaviour of co ....A cohort analysis of the demand for meat and the impact of food scares. Australia is the largest beef exporter in the world. In 1999, there were 22.7 million beef cattle, producing 2 million tonnes with a gross value of $4.4 million. To date, Australia has been unaffected by the growing number of major health scares currently plaguing many European and South American countries. Equivalent scares in Australia would be devastating and hence research into the impact of scares on the behaviour of consumers is of paramount importance. It is the purpose of this research project to quantify the effects of such health/product scares on the demand for meat.
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Identification and inference in nonparametric models. This project will develop reliable methods for identification, estimation and inference of nonparametric models for the evaluation of economic policies on outcome variables of interest. This econometric methodology will allow a better understanding of the quantitative effects of an economic policy which will result in better informed policy decisions. The results will have applications to labour market policies, health care policies and educa ....Identification and inference in nonparametric models. This project will develop reliable methods for identification, estimation and inference of nonparametric models for the evaluation of economic policies on outcome variables of interest. This econometric methodology will allow a better understanding of the quantitative effects of an economic policy which will result in better informed policy decisions. The results will have applications to labour market policies, health care policies and education policies among others. The project will also provide national benefits in terms of building up the local stock of researchers trained in the area of identification and estimation of nonparametric models; it will further improve the international reputation that Australia has in econometric theory.Read moreRead less
Non-cognitive skills and human capital investments: the importance of individuals' sense of control. This project investigates whether people's sense of control over their lives influences their decision to get an education, do job training, migrate, or adopt a healthy lifestyle. The results are important in helping policymakers to understand why some individuals work harder than others to ensure good outcomes for themselves.