ARC Future Fellowships - Grant ID: FT170100124

Funded Activity Summary

Bayesian analysis of individual decisions in health and labour economics. This project aims to exploit emerging Bayesian Markov chain Monte Carlo methods to develop new approaches to modelling economic decision making. These methods will generate insights into two current and important policy debates. This includes (i) marijuana, alcohol and tobacco use and legalisation of marijuana use; and (ii) parental leave policies, maternity leave decisions and mothers' labour market dynamics. Although policies play an important role in observed health and labour market behaviours, their exact effects on individuals' decisions and outcomes are often difficult to quantify due to the complex nature of the decision process. Outcomes from the project will include new evidence of changes in substance uses under different legal scenarios and provide benefits such as yielding vital evidence on labour market and health behaviour impacts to support policy makers and strengthen Australia's research capacity in Bayesian analysis.

Funded Activity Details

Start Date: 01-01-2018

End Date: 31-12-2023

Funding Scheme: ARC Future Fellowships

Funding Amount: $802,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Labour Economics | Econometric and Statistical Methods | Health Economics | Applied Economics |

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in Economics | Microeconomics not elsewhere classified | Micro Labour Market Issues

Other Keywords

Applied Economics | Econometric and Statistical Methods | Expanding Knowledge in Economics | Health Economics | Labour Economics | Micro Labour Market Issues | Microeconomics not elsewhere classified

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