Showing 1 - 10 of 35
We consider the estimation of a semiparametric location-scale model subject to endogenous selection, in the absence of an instrument or a large support regressor. Identification relies on the independence between the covariates and selection, for arbitrarily large values of the outcome. In this...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10013051753
We consider the estimation of a semiparametric location-scale model subject to endogenous selection, in the absence of an instrument or a large support regressor. Identification relies on the independence between the covariates and selection, for arbitrarily large values of the outcome. In this...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10013051807
We consider the estimation of a semiparametric location-scale model subject to endogenous selection, in the absence of an instrument or a large support regressor. Identification relies on the independence between the covariates and selection, for arbitrarily large values of the outcome. In this...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010416777
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010389756
Persistent link: https://ebvufind01.dmz1.zbw.eu/10011974633
This article presents the eqregsel command for implementing the estimation and bootstrap inference of sample selection models via extremal quantile regression. The command estimates a semiparametric sample selection model without instrument or large support regressor, and outputs the point...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012037854
We consider the identification of and inference on a partially linear model, when the outcome of interest and some of the covariates are observed in two different datasets that cannot be linked. This type of data combination problem arises very frequently in empirical microeconomics. Using...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014083738
Persistent link: https://ebvufind01.dmz1.zbw.eu/10015175860
We consider the identification of and inference on a partially linear model, when the outcome of interest and some of the covariates are observed in two different datasets that cannot be linked. This type of data combination problem arises very frequently in empirical microeconomics. Using...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10013186712
We consider the identification of and inference on a partially linear model, when the outcome of interest and some of the covariates are observed in two different datasets that cannot be linked. This type of data combination problem arises very frequently in empirical microeconomics. Using...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10013191048