Understanding and Modeling Individual Choices in Applied Economics. The fellowship will create a critical mass of researchers in choice modeling theory and methods in areas that Australia needs to sustain economic progress and plan for the future. It will significantly advance knowledge in several major areas: design of health insurance markets; tests for adverse selection in insurance markets; ability of people to plan for retirement (superannuation choices); ability of people to plan and choos ....Understanding and Modeling Individual Choices in Applied Economics. The fellowship will create a critical mass of researchers in choice modeling theory and methods in areas that Australia needs to sustain economic progress and plan for the future. It will significantly advance knowledge in several major areas: design of health insurance markets; tests for adverse selection in insurance markets; ability of people to plan for retirement (superannuation choices); ability of people to plan and choose in dynamic environments; and decisions to adopt new technologies/products in evolving technology markets. The outcome will be new ways to understand and predict choices that can significantly improve practices in business and other organisations.Read moreRead less
An econometric analysis of the impact of education on health in developing countries. This project will provide empirical knowledge on whether education affects health over the life course in developing countries. This research will aid the design of more cost effective strategies aiming to reduce poverty and promote economic development, which will ultimately lead to a more prosperous and safe region and world.
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
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
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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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
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
Threshold models in micro-econometrics with applications to empirical models of health. The aim of this project is to develop and apply new statistical approaches to endogenously identify non-linear relationships between explanatory variable(s) and the response variable in non-linear econometric models and to illustrate these with applications important to empirical health economics. Literature proliferates in linear models with non-linear effects, but in health economics non-linear models domin ....Threshold models in micro-econometrics with applications to empirical models of health. The aim of this project is to develop and apply new statistical approaches to endogenously identify non-linear relationships between explanatory variable(s) and the response variable in non-linear econometric models and to illustrate these with applications important to empirical health economics. Literature proliferates in linear models with non-linear effects, but in health economics non-linear models dominate. This project will generalise these techniques to allow for various forms of the threshold variable(s), including categorical and continuous, endogenous and exogenous, and those measured with error.Read moreRead less
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 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