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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/10012865763
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/10012866044
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/10012479863
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012027357
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
Persistent link: https://ebvufind01.dmz1.zbw.eu/10015175860
Persistent link: https://ebvufind01.dmz1.zbw.eu/10009406000
Persistent link: https://ebvufind01.dmz1.zbw.eu/10009560930
It is often believed that without instrument, endogenous sample selection models are identified only if a covariate with a large support is available (see Chamberlain, 1986, and Lewbel, 2007). We propose a new identification strategy mainly based on the condition that the selection variable...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10003879368
Persistent link: https://ebvufind01.dmz1.zbw.eu/10015191529