Gender wage gap: a semi-parametric approach with sample selection correction

Arbeitspapier

Sizeable gender differences in employment rates are observed in many countries. Sample selection into the workforce might therefore be a relevant issue when estimating gender wage gaps. This paper proposes a new semi-parametric estimator of densities in the presence of covariates which incorporates sample selection. We describe a simulation algorithm to implement counterfactual comparisons of densities. The proposed methodology is used to investigate the gender wage gap in Italy. It is found that when sample selection is taken into account gender wage gap widens, especially at the bottom of the wage distribution. Explanations are offered for this empirical finding.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: IZA Discussion Papers ; No. 4783

Classification and Topics

• Classification: Wirtschaft ; Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions ; Duration Analysis; Optimal Timing Strategies ; Economics of Gender; Non-labor Discrimination ; Wage Level and Structure; Wage Differentials ; Labor Discrimination
• Subject: Gender wage gap ; hazard function ; sample selection ; glass ceiling ; sticky floor ; Lohndifferenzierung ; Frauenerwerbstätigkeit ; Arbeitsplatz ; Stichprobenverfahren ; Nichtparametrisches Verfahren ; Schätzung ; Italien

Contributors, Location and Time

• Event: Geistige Schöpfung
• (who): Picchio, Matteo ; Mussida, Chiara
• Event: Veröffentlichung
• (who): Institute for the Study of Labor (IZA)
• (where): Bonn
• (when): 2010

Further information

• Handle: http://hdl.handle.net/10419/35971
• Last update: 20.09.2024, 8:20 AM CEST