[数量经济学研讨会]Bounds on Treatment Effects in the Presence of Sample Selection and Noncompliance: The Wage Effects of Job Corps
发文时间:2013-12-05

数量经济学研讨会

【201307

报告题目:Bounds on Treatment Effects in the Presence of Sample Selection and Noncompliance: The Wage Effects of Job Corps
报告人:陈轩 助理教授

报告时间:2013年12月10日下午12:30-13:30

报告地点:明德主楼729

内容简介:

  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.

报告人简介:

陈轩,中国人民大学劳动人事学院助理教授。2013年毕业于迈阿密大学经济系,她的主要研究方向为Labor Economics Program Evaluation

中国人民大学经济学院数量经济教研室

中国人民大学运筹学与数量经济研究所

2013年12月

为了加强与国内外高水平数量经济学学者的交流和合作,更好地促进数量经济学与院内其他学科之间的合作交流,数量经济学教研室将举办数量经济学研讨会。研讨会侧重于理论计量经济学、应用计量经济学及数理经济学的最新研究成果,欢迎各位学者参加或报告。如果您有研究成果想要报告,请与数量经济学教研室章永辉博士联系(yonghui.zhang@hotmail.com)。