Decomposing the Gender Wage Gap in the Netherlands with Sample Selection Adjustments

In this paper, we use quantile regression decomposition methods to analyzethe gender gap between men and women who work full time in the Nether-lands. Because the fraction of women working full time in the Netherlands isquite low, sample selection is a serious issue. In addition to shedding light onthe sources of the gender gap in the Netherlands, we make two methodolog-ical contributions. First, we prove that the Machado-Mata quantile regres-sion decomposition procedure yields consistent and asymptotically normalestimates of the quantiles of the counterfactual distribution that it is de-signe... Mehr ...

Verfasser: Albrecht, James
van Vuuren, Aico
Vroman, Susan
Dokumenttyp: doc-type:workingPaper
Erscheinungsdatum: 2004
Verlag/Hrsg.: Amsterdam and Rotterdam: Tinbergen Institute
Schlagwörter: ddc:330 / C24 / J22 / J31 / J71 / Gender / quantile regression / selection / Lohnstruktur / Geschlecht / Niederlande
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-27625019
Datenquelle: BASE; Originalkatalog
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Link(s) : http://hdl.handle.net/10419/86264