Modelling health: Reporting behaviour and misclassification using survey data. Empirical models based on large scale survey data sets are used by health economists to inform policymakers. However, in the case of sensitive topics, a potential for survey misreporting may lead to inaccurate estimates of aberrant behaviours. To date, little work has been done analysing the extent and consequences of inaccurate reporting, especially within health economics. By addressing areas where potential for mis ....Modelling health: Reporting behaviour and misclassification using survey data. Empirical models based on large scale survey data sets are used by health economists to inform policymakers. However, in the case of sensitive topics, a potential for survey misreporting may lead to inaccurate estimates of aberrant behaviours. To date, little work has been done analysing the extent and consequences of inaccurate reporting, especially within health economics. By addressing areas where potential for misinformation is high, the overall quality of results will be enhanced. This research will be submitted to highly ranked health economics and econometrics journals to be made available to relevant policymakers intent on ensuring a healthy society.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
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.
Read moreRead less
The training and job decisions of nurses: an integrated approach using panel surveys and dynamic discrete choice experiments. The nursing shortage in Australia is considered to be at crisis stage. The results of this study will lead to improved recruitment and retention of students in nursing, improved retention of new nurses in the health workforce, better design of nursing roles and job structure, and testing of the acceptability of changed health service delivery models. It will also lead to ....The training and job decisions of nurses: an integrated approach using panel surveys and dynamic discrete choice experiments. The nursing shortage in Australia is considered to be at crisis stage. The results of this study will lead to improved recruitment and retention of students in nursing, improved retention of new nurses in the health workforce, better design of nursing roles and job structure, and testing of the acceptability of changed health service delivery models. It will also lead to better health workforce planning. The study directly contributes to filling the gaps in health labour force quantitative studies identified in a recent Productivity Commission Report, and provides a basis for the implementation of the Commission's recommendations.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
Physician Preferences for Medical Innovation. This project aims to identify the causes and consequences of medical practice variations by providing new evidence on the process through which physicians adopt and use new medical technology. This project expects to generate new knowledge on how physicians' human and social capital determine their preferences for taking up new medical technology and the economic consequences of such decisions. Expected outcomes of this project include a greater unde ....Physician Preferences for Medical Innovation. This project aims to identify the causes and consequences of medical practice variations by providing new evidence on the process through which physicians adopt and use new medical technology. This project expects to generate new knowledge on how physicians' human and social capital determine their preferences for taking up new medical technology and the economic consequences of such decisions. Expected outcomes of this project include a greater understanding of the sources for and costs of inappropriate use of healthcare, such as low-value care. This should provide significant benefits, such as contributing to the construction of effective policies for improving efficiency and equity of the healthcare system.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
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.
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