A new version of this entry is available:
Loading...
ResearchPaper
2017
The convergence of the gender pay gap : an alternative estimation approach
The convergence of the gender pay gap : an alternative estimation approach
Abstract (English)
So far, little work has been done on directly estimating differences of wage gaps. Studies estimating pay differentials, generally compare them across different subsamples. This comparison does not allow to conduct any inference or, in the case of decompositions, to confront the respective decomposition components across subsamples. We propose an exten- sion of an Oaxaca-Blinder type decomposition based on the omitted variable bias formula to directly estimate the change in pay gaps across subsamples. The method proposed can be made robust to the index-number problem of the standard Oaxaca-Blinder decomposition and to the indeterminacy problem of the intercept-shift approach. Using Italian micro data, we estimate the difference in the gender pay gap across time (2005 and 2014). By applying our proposed decomposition, we find that the convergence of the gender pay gap over time is only driven by the catching-up of women in terms of observable characteristics, while the impact of anti-discrimination legislation is found to be negligible.
File is subject to an embargo until
This is a new version of:
Notes
Publication license
Publication series
Hohenheim discussion papers in business, economics and social sciences; 2017,14
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)
330 Economics
Original object
Free keywords
Standardized keywords (GND)
BibTeX
@techreport{Töpfer2017,
url = {https://hohpublica.uni-hohenheim.de/handle/123456789/6171},
author = {Töpfer, Marina and Castagnetti, Carolina and Rosti, Luisa et al.},
title = {The convergence of the gender pay gap : an alternative estimation approach},
year = {2017},
school = {Universität Hohenheim},
series = {Hohenheim discussion papers in business, economics and social sciences},
}