Showing 1 - 10 of 21
This note argues that nonparametric regression not only relaxes functional form assumptions vis-a-vis parametric regression, but that it also permits endogenous control variables. To control for selection bias or to make an exclusion restriction in instrumental variables regression valid,...
Persistent link: https://www.econbiz.de/10003323164
Persistent link: https://www.econbiz.de/10003335635
Persistent link: https://www.econbiz.de/10003582914
Persistent link: https://www.econbiz.de/10003597228
In this paper, the regression discontinuity design (RDD) is generalized to account for differences in observed covariates X in a fully nonparametric way. It is shown that the treatment effect can be estimated at the rate for one-dimensional nonparametric regression irrespective of the dimension...
Persistent link: https://www.econbiz.de/10003557339
Persistent link: https://www.econbiz.de/10003390172
Persistent link: https://www.econbiz.de/10001614390
Persistent link: https://www.econbiz.de/10001521946
Persistent link: https://www.econbiz.de/10004893159
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