[數量經濟學研討會]Bounds on Treatment Effects in the Presence of Sample Selection and Noncompliance: The Wage Effects of Job Corps
發文時間:2013-12-05

數量經濟學研討會

【201307

報告題目:Bounds on Treatment Effects in the Presence of Sample Selection and Noncompliance: The Wage Effects of Job Corps
報告人:陳軒 助理教授

報告時間:2013年12月10日下午12:30-13:30

報告地點:明德主樓729

內容簡介:

  Randomized and natural experiments are commonly used in economics and other social science fields to estimate the effect of programs and interventions. Even when employing experimental data, assessing the impact of the treatment on outcomes of interest is often complicated by the presence of sample selection (outcomes are only observed for a selected group) and noncompliance with the assigned treatment (some treatment group individuals do not receive the treatment while some control individuals do). We address both of these identification problems simultaneously and derive nonparametric bounds for average treatment effects within a principal stratification framework. We employ these bounds to empirically assess the wage effects of the Job Corps (JC) program, which is the most comprehensive and largest federally-funded job training program for disadvantaged youth in the United States. Our results strongly suggest positive average effects of JC on wages for individuals who comply with their treatment assignment and would be employed whether or not they enrolled in JC (the “always-employed compliers”). In particular, under relatively weak monotonicity and mean dominance assumptions, we find that this average effect is between 5.7 and 13.9 percent four years after randomization and between 7.7 and 17.5 percent for Non-Hispanics.

報告人簡介:

陳軒,中國人民大學勞動人事學院助理教授。2013年畢業于邁阿密大學經濟系,她的主要研究方向為Labor Economics Program Evaluation

中國人民大學經濟學院數量經濟教研室

中國人民大學運籌學與數量經濟研究所

2013年12月

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