TY - JOUR
T1 - Inference for treatment effects of job training on wages: using bounds to compute Fisher’s exact p-value
AU - Blanco, German
AU - Bia, Michela
N1 - doi: 10.1080/13504851.2018.1564113
PY - 2019/10/7
Y1 - 2019/10/7
N2 - 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.
AB - 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.
KW - nonparametric bounds
KW - randomization inference
KW - sample selection
KW - training effects
UR - http://www.mendeley.com/research/inference-treatment-effects-job-training-wages-using-bounds-compute-fishers-exact-pvalue
U2 - 10.1080/13504851.2018.1564113
DO - 10.1080/13504851.2018.1564113
M3 - Article
SN - 1350-4851
VL - 26
SP - 1424
EP - 1428
JO - Applied Economics Letters
JF - Applied Economics Letters
IS - 17
ER -