A new version of this entry is available:
Loading...
ResearchPaper
2017
Detailed RIF decomposition with selection : the gender pay gap in Italy
Detailed RIF decomposition with selection : the gender pay gap in Italy
Abstract (English)
In this paper, we estimate the gender pay gap along the wage distribution using a detailed decomposition approach based on unconditional quantile regressions. Non-randomness of the sample leads to biased and inconsistent estimates of the wage equation as well as of the components of the wage gap. Therefore, the method is extended to account for sample selection problems. The decomposition is conducted by using Italian microdata. Accounting for labor market selection may be particularly relevant for Italy given a comparably low female labor market participation rate. The results suggest not only differences in the income gap along the wage distribution (in particular glass ceiling), but also differences in the contribution of selection effects to the pay gap at different quantiles.
File is subject to an embargo until
This is a correction to:
A correction to this entry is available:
This is a new version of:
Notes
Publication license
Publication series
Hohenheim discussion papers in business, economics and social sciences; 2017,26
Published in
Faculty
Faculty of Business, Economics and Social Sciences
Institute
Institute of Economics
Examination date
Supervisor
Edition / version
Citation
Identification
DOI
ISSN
ISBN
Language
English
Publisher
Publisher place
Classification (DDC)
300 Social sciences, sociology, and anthropology
Original object
Standardized keywords (GND)
BibTeX
@techreport{Töpfer2017,
url = {https://hohpublica.uni-hohenheim.de/handle/123456789/6195},
author = {Töpfer, Marina},
title = {Detailed RIF decomposition with selection : the gender pay gap in Italy},
year = {2017},
school = {Universität Hohenheim},
series = {Hohenheim discussion papers in business, economics and social sciences},
}