Inference for treatment effects of job training on wages: using bounds to compute Fisher’s exact p-value.Authors: Blanco German, BIA Michela.
Online First: 07/01/2019
In the context of a training program’s randomized evaluation, where estimating wage effects is of interest, we propose employing bounds that control for sample selection as a model-based statistic to conduct randomization-based inference à la Fisher. Inference is based on a sharp null hypothesis of no treatment effect for anyone. In contrast to conventional inference, Fisher p-values are nonparametric and do not employ large sample approximations.
Reference: BLANCO German, BIA Michela. Inference for treatment effects of job training on wages: using bounds to compute Fisher’s exact p-value. Applied Economics Letters, 2019, vol. 26, n°17, pp. 1424-1428.Keywords: