THRESHOLD MODELS IN MICRO-ECONOMETRICS WITH APPLICATIONS TO EMPIRICAL MODELS OF HEALTH

Grant number: DP140100743 | Funding period: 2016 - 2019

Completed

Abstract

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.

Researchers