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Research ArticleArticle

Going beyond LATE: Bounding Average Treatment Effects of Job Corps Training

Xuan Chen, Carlos A. Flores and Alfonso Flores-Lagunes
Published online before print September 05, 2017, 1015-7483R1; DOI: https://doi.org/10.3368/jhr.53.4.1015.7483R1
Xuan Chen
Xuan Chen is assistant professor at the School of Labor and Human Resources, Renmin University of China, . Carlos A. Flores is professor of economics at the California Polytechnic State University at San Luis Obispo, . Alfonso Flores-Lagunes is professor of economics and senior research associate at the Center for Policy Research, Syracuse University, and a research fellow at IZA & GLO, .
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  • For correspondence: [email protected] [email protected] [email protected]
Carlos A. Flores
Xuan Chen is assistant professor at the School of Labor and Human Resources, Renmin University of China, . Carlos A. Flores is professor of economics at the California Polytechnic State University at San Luis Obispo, . Alfonso Flores-Lagunes is professor of economics and senior research associate at the Center for Policy Research, Syracuse University, and a research fellow at IZA & GLO, .
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Alfonso Flores-Lagunes
Xuan Chen is assistant professor at the School of Labor and Human Resources, Renmin University of China, . Carlos A. Flores is professor of economics at the California Polytechnic State University at San Luis Obispo, . Alfonso Flores-Lagunes is professor of economics and senior research associate at the Center for Policy Research, Syracuse University, and a research fellow at IZA & GLO, .
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Abstract

We derive bounds on the population average treatment effect (ATE) and the average treatment effect on the treated (ATT) with an instrumental variable, and employ them to evaluate the effectiveness of the Job Corps (JC) training program using data from a randomized evaluation with non-compliance. We find positive effects of JC on earnings and employment, and negative effects on public benefits dependence, for eligible applicants (ATE) and participants (ATT). Some of our results also point to positive average effects on the labor market outcomes of “never takers” (individuals who never enroll in JC regardless of their treatment assignment).

Key words and phrases
  • Training programs
  • Program evaluation
  • Average treatment effects
  • Bounds
  • Instrumental variables
JEL classification
  • J30
  • C13
  • C21
  • Accepted July 28, 2017.
  • © 2017 by the Board of Regents of the University of Wisconsin System

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Journal of Human Resources: 58 (1)
Journal of Human Resources
Vol. 58, Issue 1
1 Jan 2023
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Going beyond LATE: Bounding Average Treatment Effects of Job Corps Training
Xuan Chen, Carlos A. Flores, Alfonso Flores-Lagunes
Journal of Human Resources Sep 2017, 1015-7483R1; DOI: 10.3368/jhr.53.4.1015.7483R1

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Going beyond LATE: Bounding Average Treatment Effects of Job Corps Training
Xuan Chen, Carlos A. Flores, Alfonso Flores-Lagunes
Journal of Human Resources Sep 2017, 1015-7483R1; DOI: 10.3368/jhr.53.4.1015.7483R1
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Keywords

  • Training programs
  • Program evaluation
  • Average treatment effects
  • Bounds
  • Instrumental variables
  • J30
  • C13
  • C21
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