【5月31日】【CHLR应用微观讲座】Bounding Average and Quantile Effects of Training on Employment and Unemployment发布日期：2019-09-12 21:08:50
主题： Bounding Average and Quantile Effects of Training on Employment and Unemployment Durations under Selection,Censoring, and Noncompliance.
摘 要：Using data from a randomized evaluation of the Job Corps (JC) training program, we estimate nonparametric bounds for average and quantile treatment effects of training on employment and unemployment duration. Under relatively weak assumptions, we bound these effects addressing three pervasive problems in randomized evaluations: sample selection, censoring, and noncompliance. The first ariseswhen the individuals’ decision to experience employment or unemployment spells isendogenous and potentially affected by the program. Censoring arises when the duration outcome is fully observed only for individuals who have completed a full spellby the end of the observation period, with the extent of censoring being potentiallyaffected by training. Noncompliance is present when some assigned participants donot receive training and some assigned nonparticipants receive training. Ignoringthese issues would yield biased estimates of the effects. Our results indicate that JCtraining increases the average duration in weeks of the last complete employmentspell before week 208 after randomization by at least 10.7 log points (11.3 percent)for individuals who comply with their treatment assignment and who would experience a complete employment spell whether or not they enrolled in JC. The proposedapproach allows us to also bound the wage effects of JC for these individuals duringthose spells. We find that JC increases their average wages by between 6.2 and 13.7log points (6.4 and 14.7 percent), suggesting that JC not only helps these individuals to maintain their jobs longer, but also that those jobs are better paid. We findno distinguishable effects of JC on average unemployment duration. The quantileresults reflect heterogeneous effects and strengthen our conclusions based on theaverage effects.
关于主讲人：陈轩，中国人民大学劳动人事学院讲师，研究领域主要是劳动经济学, 项目影响计量评估，其研究发表在《Journal of Business and Economic Statistics》，《Journal of Labor Research》，《Journal of Human Resources》等期刊上。