Threshold Models in Micro-econometrics with Applications to Empirical Models of Health

Mark Harris from the Centre for Research in Applied Economics and the School of Economics, Finance and Property together with David Harris and Brenda Gannon received funding for the following research under the ARC Discovery Grants Scheme for the period 2014 to 2016.

Project Summary
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.

We will generalise our techniques to allow for various forms of the threshold variable(s), including categorical and continuous, endogenous and exogenous, and those measured with error.

Funding
2014       $120,000
2015       $116,000
2016       $105,000

Field of Research Codes

  • 140208: Health Economics
  • 140302: Econometrics and Statistical Methods

Keywords

  • Health Policy
  • Econometrics
  • Parametric Threshold Models