Economic analysis of inter-relationships between private health insurance and health expenditures. Health care services involve a complex mix of private and public funding and provision. The links between policy initiatives, such as private health insurance incentives, and outcomes are often unclear. This project involves a detailed economic and econometric investigation of individual health insurance and health care consumption decisions and their interaction, and the resulting impact on health ....Economic analysis of inter-relationships between private health insurance and health expenditures. Health care services involve a complex mix of private and public funding and provision. The links between policy initiatives, such as private health insurance incentives, and outcomes are often unclear. This project involves a detailed economic and econometric investigation of individual health insurance and health care consumption decisions and their interaction, and the resulting impact on health care utilisation and expenditure across public and private sectors. The significance of the project lies in its use of innovative methods to combine several data sources, and in the potential for the resulting models to predict the impact of future health policy initiatives.
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Flexible methods for latent variable models applied to Health Economics. This project aims to develop flexible and powerful methods for estimating models containing variables that are unobserved, that is, latent. Such models are often used to capture individual heterogeneity and time dependence in data collected on individuals, with each individual observed for several time periods. Latent variables can also infer group membership, where such membership is unavailable from the data. The intended ....Flexible methods for latent variable models applied to Health Economics. This project aims to develop flexible and powerful methods for estimating models containing variables that are unobserved, that is, latent. Such models are often used to capture individual heterogeneity and time dependence in data collected on individuals, with each individual observed for several time periods. Latent variables can also infer group membership, where such membership is unavailable from the data. The intended methodology is Bayesian and based on new particle methods that allow users to select between models and predict future observations even in complex situations. The research aims to inform decision making through improved use of data in health economics and related fields.Read moreRead less
An investigation of illicit tobacco use - its prevalence, economic impact and the motivations and perceptions of consumers. Black market tobacco costs the Australian government at least $450 million in lost taxes per annum. Little is known about the prevalence and economics of illicit tobacco use, or the motivations, attitudes and perceptions of consumers. Using a national telephone survey of licit and illicit tobacco consumers, we will investigate their economic thresholds, decision-making pr ....An investigation of illicit tobacco use - its prevalence, economic impact and the motivations and perceptions of consumers. Black market tobacco costs the Australian government at least $450 million in lost taxes per annum. Little is known about the prevalence and economics of illicit tobacco use, or the motivations, attitudes and perceptions of consumers. Using a national telephone survey of licit and illicit tobacco consumers, we will investigate their economic thresholds, decision-making processes, and perceptions of health effects. Our work will lead to improved supply and demand reduction measures for illicit tobacco, and enable development of appropriately targeted health promotion strategies, generating enduring benefit to Australia's economy and public health. Read moreRead less
Bayesian Analysis of Treatment Effects in Experiments with Imperfect Compliance. This research has a potential to benefit society by providing methods to evaluate the effectiveness of medical treatments and socio-economic and health related interventions and policies based on experiments with imperfect compliance. The proposed methods are directly relevant to the second national research priority, as they can be used to test potential measures for preventative health care and to evaluate measure ....Bayesian Analysis of Treatment Effects in Experiments with Imperfect Compliance. This research has a potential to benefit society by providing methods to evaluate the effectiveness of medical treatments and socio-economic and health related interventions and policies based on experiments with imperfect compliance. The proposed methods are directly relevant to the second national research priority, as they can be used to test potential measures for preventative health care and to evaluate measures for strengthening Australia's social and economic fabric. The usefulness of our methods is demonstrated in the analysis of the effectiveness of a training program for the unemployed in alleviating negative mental health effects from job loss.Read moreRead less
Analysis of Drug Consumption in Australia Using New Microeconometric Techniques for Unit Record Data. The consumption of licit and illicit recreational drugs and its adverse health, social and economic effects are everyday topics in Australian society. Much debate has surrounded government drug policies implemented through education, legislation and taxation. This study will provide comprehensive empirical knowledge of Australians' consumption of alcohol, tobacco, prescription drugs for non-med ....Analysis of Drug Consumption in Australia Using New Microeconometric Techniques for Unit Record Data. The consumption of licit and illicit recreational drugs and its adverse health, social and economic effects are everyday topics in Australian society. Much debate has surrounded government drug policies implemented through education, legislation and taxation. This study will provide comprehensive empirical knowledge of Australians' consumption of alcohol, tobacco, prescription drugs for non-medical purpose, and illicit drugs such as heroin and cocaine. It will help identify social, economic and demographic determinants of drug consumption, information which is invaluable for targeting drug policies and education programs. New microeconometric techniques will also be developed that have wide application in other fields.Read moreRead less
An Econometric Analysis of Labour Market, Health and Educational Consequences of Cannabis Use. This research will provide comprehensive empirical knowledge about the linkages between cannabis use, health, education, employment and earnings in Australia. Understanding these linkages is important because although cannabis is a commonly used drug, it is unclear how its use impacts on these important aspects of overall wellbeing and productivity. The knowledge gained from this research will contrib ....An Econometric Analysis of Labour Market, Health and Educational Consequences of Cannabis Use. This research will provide comprehensive empirical knowledge about the linkages between cannabis use, health, education, employment and earnings in Australia. Understanding these linkages is important because although cannabis is a commonly used drug, it is unclear how its use impacts on these important aspects of overall wellbeing and productivity. The knowledge gained from this research will contribute towards designing policies that encourage Australians to make choices that lead to positive pathways, so that they may achieve healthy lifetime outcomes. Productive and healthy outcomes for individuals will contribute to healthy economic outcomes for Australia.Read moreRead less
Bayesian choice modelling. Discrete choice models are important as they provide tools to help understand choice processes of decision makers. It remains a challenge to specify models with covariance structures flexible enough to capture complex patterns of cross-substitution between choices while being able to capture heterogeneity present in individual behaviour. We will develop a Bayesian approach to choice modelling that uses covariance selection to overcome these problems. This will train re ....Bayesian choice modelling. Discrete choice models are important as they provide tools to help understand choice processes of decision makers. It remains a challenge to specify models with covariance structures flexible enough to capture complex patterns of cross-substitution between choices while being able to capture heterogeneity present in individual behaviour. We will develop a Bayesian approach to choice modelling that uses covariance selection to overcome these problems. This will train researchers and raise the profile of Australia in an active research area that is important in the social sciences; substantive applications will be in health economics, but developments will also be relevant to cognate areas of biostatistics, epidemiology, and ecology.Read moreRead less
Improving productivity: theory and application to Australian hospitals. This project aims to improve existing methods for analysing productivity and efficiency of organisations. The new methods will be applied to Australian hospitals, to analyse their productivity and efficiency, identify the best-practices and their determinants and recommend improvements and necessary reforms. The high level of healthcare costs in Australia, about 5 percent of gross domestic product, as well as their rapid and ....Improving productivity: theory and application to Australian hospitals. This project aims to improve existing methods for analysing productivity and efficiency of organisations. The new methods will be applied to Australian hospitals, to analyse their productivity and efficiency, identify the best-practices and their determinants and recommend improvements and necessary reforms. The high level of healthcare costs in Australia, about 5 percent of gross domestic product, as well as their rapid and accelerating growth, imply that application of methods developed through this project may save billions of dollars and, more importantly, thousands of lives. An expected outcome of this project will be superior theoretical and practical methods for analysing productivity and efficiency of economic systems, to enhance understanding of the potential for improvements and of the necessary reforms.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100644
Funder
Australian Research Council
Funding Amount
$371,000.00
Summary
Nonlinear econometric panel models with fixed effects. This project aims to develop effective quantitative methods tailored to policy questions in public health and international trade. Many nonlinear panel models are essential to answer policy-relevant research questions, but cannot estimate key objects of interest, while default procedures for inference are often misleading, making magnitudes of identified effects impossible to quantify. This project will develop methods to overcome these limi ....Nonlinear econometric panel models with fixed effects. This project aims to develop effective quantitative methods tailored to policy questions in public health and international trade. Many nonlinear panel models are essential to answer policy-relevant research questions, but cannot estimate key objects of interest, while default procedures for inference are often misleading, making magnitudes of identified effects impossible to quantify. This project will develop methods to overcome these limitations for many econometric models, and apply them to important models in health economics and international trade. Such improvements are expected to reduce risk in public decision-making, resulting in better and more effective policies.Read moreRead less
Micro-panel data with non-linear error components. This project aims to develop methods for panel data models with heterogeneous marginal effects and discrete choice outcomes, controlling for unobserved common factors and nonlinear error components; and apply the methodologies to analyse alcohol-fuelled violence and drug-related harm in Australia. The project lies at the forefront of advances in econometrics, and the outcomes are expected to broaden and deepen Australia’s knowledge base. Empiric ....Micro-panel data with non-linear error components. This project aims to develop methods for panel data models with heterogeneous marginal effects and discrete choice outcomes, controlling for unobserved common factors and nonlinear error components; and apply the methodologies to analyse alcohol-fuelled violence and drug-related harm in Australia. The project lies at the forefront of advances in econometrics, and the outcomes are expected to broaden and deepen Australia’s knowledge base. Empirical outcomes should inform and evaluate evidence-based policy interventions for crime prevention, and influence policy making about public transport and economic growth.Read moreRead less