Using matching, instrumental variables, and control functions to estimate economic choice models

• 成果类型: Article
• 署名作者: Heckman, J; Navarro-Lozano, S
• 署名单位: University of Chicago
• 刊物名称: REVIEW OF ECONOMICS AND STATISTICS
• ISSN/ISSBN: 0034-6535
• DOI: 10.1162/003465304323023660
• 发表日期: 2004-02
• 页码: 30-57
• 关键词: propensity-score; semiparametric estimation; selection bias; Heterogeneity; PROGRAMS; POLICY

摘要

This paper investigates four topics. (1) It examines the different roles played by the propensity score (the probability of selection into treatment) in matching instrumental variable, and control function methods. (2) It contrasts the roles of exclusion restrictions in matching and selection models. (3) It characterizes the sensitivity of matching to the choice of conditioning variables and demonstrates the greater robustness of control function methods to misspecification of the conditioning variables. (4) It demonstrates the problem of choosing the conditioning variables in matching and the failure of conventional model selection criteria when candidate conditioning variables are not exogenous in a sense defined in this paper.