Treatment Evaluation With Selective Participation and Ineligibles

• 成果类型: Article
• 署名作者: Dias, Monica Costa; Ichimura, Hidehiko; van den Berg, Gerard J.
• 署名单位: University of London; London School Economics & Political Science; Universidade do Porto; IZA Institute Labor Economics; University of Tokyo; University of Tokyo; University of Mannheim; Vrije Universiteit Amsterdam
• 刊物名称: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
• ISSN/ISSBN: 0162-1459
• DOI: 10.1080/01621459.2013.795447
• 发表日期: 2013
• 页码: 441-455
• 关键词: transition rate; LABOR; identification; duration; IMPACT; PROGRAMS; BIAS

摘要

Matching methods for treatment evaluation based on a conditional independence assumption do not balance selective unobserved differences between treated and nontreated. We derive a simple correction term if there is an instrument that shifts the treatment probability to zero in specific cases. Policies with eligibility restrictions, where treatment is impossible if some variable exceeds a certain value, provide a natural application. In an empirical analysis, we exploit the age eligibility restriction in the Swedish Youth Practice subsidized work program for young unemployed, where compliance is imperfect among the young. Adjusting the matching estimator for selectivity changes the results toward making subsidized work detrimental in moving individuals into employment.