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

二元响应模型中治疗效果的部分识别及其在健康经济学中的应用

• 批准号: DP140102345
• 负责人: Prof Xueyan Zhao
• 金额: $ 25.94万
• 依托单位: Monash University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2014
• 资助国家: 澳大利亚
• 起止时间: 2014-06-30 至 2019-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP140102345
• 关键词: Partial; Identification; Treatment; Effects; Binary

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.

该项目的主要目标是研究在涉及二元内生治疗变量和二元结果的模型背景下的部分识别问题，并调查实证经济学中政策效应的计量经济学估计的含义。将估计几种澳大利亚卫生经济应用的治疗效果的识别集，并与传统的点识别估计值进行比较。性能的替代约束估计将被检查，并特别注意的工具和边界的大小的弱点的问题。这些文献中的新理论发展对实证经济学具有重要意义。