Detailed RIF decomposition with selection : the gender pay gap in Italy

dc.contributor.authorTöpfer, Marinade
dc.date.accessioned2024-04-08T08:54:53Z
dc.date.available2024-04-08T08:54:53Z
dc.date.created2017-09-28
dc.date.issued2017
dc.description.abstractIn 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.en
dc.identifier.swb493886990
dc.identifier.urihttps://hohpublica.uni-hohenheim.de/handle/123456789/6195
dc.identifier.urnurn:nbn:de:bsz:100-opus-14102
dc.language.isoeng
dc.relation.ispartofseriesHohenheim discussion papers in business, economics and social sciences; 2017,26
dc.rights.licensepubl-mit-poden
dc.rights.licensepubl-mit-podde
dc.rights.urihttp://opus.uni-hohenheim.de/doku/lic_mit_pod.php
dc.subjectGender pay gapen
dc.subjectDetailed decompositionen
dc.subjectUnconditional quantile regressionen
dc.subjectSample selectionen
dc.subject.ddc300
dc.subject.gndItaliende
dc.subject.gndGeschlechterforschungde
dc.subject.gndLohngleichheitde
dc.titleDetailed RIF decomposition with selection : the gender pay gap in Italyde
dc.type.dcmiTextde
dc.type.diniWorkingPaperde
local.accessuneingeschränkter Zugriffen
local.accessuneingeschränkter Zugriffde
local.bibliographicCitation.publisherPlaceUniversität Hohenheimde
local.faculty.number3de
local.institute.number520de
local.opus.number1410
local.series.issueNumber2017,26
local.series.titleHohenheim discussion papers in business, economics and social sciences
local.universityUniversität Hohenheimde
local.university.facultyFaculty of Business, Economics and Social Sciencesen
local.university.facultyFakultät Wirtschafts- und Sozialwissenschaftende
local.university.instituteInstitute for Economicsen
local.university.instituteInstitut für Volkswirtschaftslehrede

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
dp_26_2017_online.pdf
Size:
1012.15 KB
Format:
Adobe Portable Document Format
Description:
Open Access Fulltext