This paper empirically assesses the wage effects of the Job Corps program, one of the largest federally-funded job training programs in the United States. 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 micro-econometric 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 outcome of interest. Identification results, estimators, and their asymptotic distribution, are presented. The bounds suggest that the program raised wages, consistent with the notion that the Job Corps raises earnings by increasing human capital, rather than solely through encouraging work. The estimator is generally applicable to typical treatment evaluation problems in which there is non-random sample selection/attrition.
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number
11721.
Length: Date of creation: Oct 2005 Date of revision: Handle: RePEc:nbr:nberwo:11721
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Find related papers by JEL classification: J0 - Labor and Demographic Economics - - General J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables C5 - Mathematical and Quantitative Methods - - Econometric Modeling
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