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
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
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