Threshold models in micro-econometrics with applications to empirical models of health

该项目的目的是开发和应用新的统计方法，以内在地识别非线性计量经济模型中解释变量和响应变量之间的非线性关系，并通过对经验卫生经济学重要的应用来说明这些关系。具有非线性效应的线性模型的文献激增，但在卫生经济学中非线性模型占主导地位。本项目将概括这些技术，以允许各种形式的阈值变量，包括分类和连续，内生和外生，以及那些测量误差。

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.