Training, Wages, and Sample Selection: Estimating Sharp Bounds on Treatment Effects
Indexed incrossref
Abstract
This paper empirically assesses the wage effects of the Job Corps program, one of the largest federally funded job training programs in the U.S. Even with the aid of a randomized experiment, the impact of a training program on wages is difficult to study because of sample selection, a pervasive problem in applied microeconometric research. Wage rates are only observed for those who are employed, and employment status itself may be affected by the training program. This paper develops an intuitive trimming procedure for bounding average treatment effects in the presence of sample selection. In contrast to existing methods, the procedure requires neither exclusion restrictions nor a bounded support for the…
Citation impact
1,372
total citations
- FWCI
- 24.13
- Percentile
- 100%
- References
- 56
Citations per year
Authors
1Topics & keywords
Topics
Keywords
- Estimator
- Earnings
- Attrition
- Average treatment effect
- Sample (material)
- Selection (genetic algorithm)
- Economics
- Selection bias
UN Sustainable Development Goals
- Decent work and economic growth
No related works found for this paper.