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In an evaluation of a job-training program, the influence of the program on the in-dividual wages is important, because it reflects the program effect on human capital. Esti-mating these effects is complicated because we observe wages only for employed individuals, and employment is itself an...
Persistent link: https://www.econbiz.de/10008669231
In an evaluation of a job-training program, the influence of the program on the individual earnings capacity is important, because it reflects the program effect on human capital. Estimating these effects is complicated because earnings are observed for employed individuals only, and employment...
Persistent link: https://www.econbiz.de/10003591479
Persistent link: https://www.econbiz.de/10003523231
In an evaluation of a job-training program, the influence of the program on the individual wages is important, because it reflects the program effect on human capital. Estimating these effects is complicated because we observe wages only for employed individuals, and employment is itself an...
Persistent link: https://www.econbiz.de/10013144275
In an evaluation of a job-training program, the influence of the program on the individual earnings capacity is important, because it reflects the program effect on human capital. Estimating these effects is complicated because earnings are observed for employed individuals only, and employment...
Persistent link: https://www.econbiz.de/10013316916
Persistent link: https://www.econbiz.de/10003405032
This paper shows nonparametric identification of quantile treatment effects (QTE) in the regression discontinuity design. The distributional impacts of social programs such as welfare, education, training programs and unemployment insurance are of large interest to economists. QTE are an...
Persistent link: https://www.econbiz.de/10003975413
This chapter reviews instrumental variable models of quantile treatment effects. We focus on models that achieve identification through a monotonicity assumption in the treatment choice equation. We discuss the key conditions, the role of control variables as well as the estimands in detail and...
Persistent link: https://www.econbiz.de/10011442004
Persistent link: https://www.econbiz.de/10009612714
This paper shows nonparametric identification of quantile treatment effects (QTE) in the regression discontinuity design. The distributional impacts of social programs such as welfare, education, training programs and unemployment insurance are of large interest to economists. QTE are an...
Persistent link: https://www.econbiz.de/10013069679