Partial Identification of Treatment Effects in Binary Response Models with Applications in Health Economics

这个项目的主要目标是在包含二元内生治疗变量和二元结果的模型的背景下研究部分识别问题，并调查在经验经济学中对政策效果的计量经济学估计的影响。将对几种澳大利亚卫生经济应用的治疗效果确定的集合进行估计，并与传统的点确定估计进行比较。将审查备选界限估计器的性能，并特别注意工具的弱点和界限的大小问题。这篇文献中的新理论发展对经验经济学具有重要的意义。

The broad objectives of this project are to study the issues of partial identification in the context of models involving binary endogenous treatment variables and binary outcomes, and to investigate the implications for econometric estimation of policy effects in empirical economics. Identified sets for treatment effects for several Australian health economic applications will be estimated and compared with conventional point identified estimates. Performance of alternative bound estimators will be examined and particular attention given to the issue of the weakness of the instruments and the size of the bounds. The new theoretical developments in this literature have significant implications for empirical economics.