Bounds on Average and Quantile Treatment Effects of Job Corps Training on Wages
扩展了存在样本选择时平均与分位数处理效应的非参数部分识别方法，并应用于美国最大职业培训项目Job Corps，发现其对除西班牙裔外的弱势青年工资有正向影响，平均效应在4.6%至12%之间，分位数效应在2.7%至14%之间。
We review and extend nonparametric partial identification results for average and quantile treatment effects in the presence of sample selection. These methods are applied to assessing the wage effects of Job Corps, United States' largest job-training program targeting disadvantaged youth. Excluding Hispanics, our estimates suggest positive program effects on wages both at the mean and throughout the wage distribution. Across the demographic groups analyzed, the statistically significant estimated average and quantile treatment effects are bounded between 4.6 and 12 percent, and 2.7 and 14 percent, respectively. We also document that the program's wage effects vary across quantiles and demographic groups.