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Provedor de dados:  AgEcon
País:  United States
Título:  Bounds on Quantile Treatment Effects of Job Corps on Participants' Wages
Autores:  Blanco, German
Flores, Carlos A.
Flores-Lagunes, Alfonso
Data:  2011-05-03
Ano:  2011
Palavras-chave:  Job Corps
Nonparametric Bounds
Principal Stratification
Active Labor Market Programs.
Labor and Human Capital
Public Economics
Research Methods/ Statistical Methods
J24
J68
C14
C21
Resumo:  This paper assesses the effect of the U.S. Job Corps (JC), the nation's largest and most comprehensive job training program targeting disadvantaged youths, on wages. We employ partial identification techniques and construct informative nonparametric bounds for the causal effect of interest under weaker assumptions than those conventionally used for point identification of treatment effects in the presence of sample selection. In addition, we propose and estimate bounds on quantile treatment effects of the program on participants' wages. In general, we find convincing evidence of positive impacts of JC on participants' wages. Importantly, we find that estimated impacts on lower quantiles of the distribution are higher, with the highest impact being in the 5th percentile where a positive effect on wages is bounded between 8.4 and 16.1 percent. These bounds suggest that JC results in wage compression within eligible participants.
Tipo:  Working or Discussion Paper
Idioma:  Inglês
Identificador:  http://purl.umn.edu/103761
Relação:  Agricultural and Applied Economics Association>2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania
Selected paper
Formato:  48
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