Extremal Quantile Regressions for Selection Models and the Black-White Wage Gap
Year of publication: |
2014-06
|
---|---|
Authors: | D'Haultfoeuille, Xavier ; Maurel, Arnaud ; Zhang, Yichong |
Institutions: | National Bureau of Economic Research (NBER) |
Extent: | application/pdf |
---|---|
Series: | |
Type of publication: | Book / Working Paper |
Notes: | LS TWP The price is Paper copy available by mail Number 20257 |
Classification: | C21 - Cross-Sectional Models; Spatial Models ; C24 - Truncated and Censored Models ; J31 - Wage Level and Structure; Wage Differentials by Skill, Training, Occupation, etc |
Source: |
-
Revisiting the Composition of the Female Workforce - A Heckman Selection Model with Endogeneity
Schwiebert, Jörg, (2012)
-
Analyzing the Composition of the Female Workforce - A Semiparametric Copula Approach
Schwiebert, Jörg, (2012)
-
Estimating Selection Models without Instrument with Stata
D'Haultfœuille, Xavier, (2019)
- More ...
-
Estimating Selection Models without Instrument with Stata
D'Haultfoeuille, Xavier, (2019)
-
Extremal Quantile Regressions for Selection Models and the Black-White Wage Gap
D'Haultfoeuille, Xavier, (2014)
-
Extremal Quantile Regressions for Selection Models and the Black-White Wage Gap
d'Haultfoeuille, Xavier, (2014)
- More ...