Analysing the gender wage gap (GWG) using personnel records

Christian Pfeifer; Tatjana Sohr

doi:10.1111/j.1467-9914.2009.00451.x

Analysing the gender wage gap (GWG) using personnel records

Christian Pfeifer
, Tatjana Sohr

Leibniz Universität Hannover

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › Begutachtung

10 Zitate (Scopus)

Abstract

We use monthly personnel records of a large German company for the years 1999-2005 to analyse the gender wage gap (GWG). The unconditional GWG is 15 per cent for blue-collar and 26 per cent for white-collar workers. Different returns to entry age explain a substantial part of the GWG as well as segregation of men and women in different hierarchical levels. The relative GWG increases with increasing tenure for blue-collar but declines for white-collar workers. Taking into account the different impact of general and firm-specific human capital on white-collar and blue-collar occupation, this is consistent with theories of statistical discrimination.

Originalsprache	Englisch
Zeitschrift	Labour - Review of labour economics and industrial relations
Jahrgang	23
Ausgabenummer	2
Seiten (von - bis)	257-282
Seitenumfang	26
ISSN	1121-7081
DOIs	https://doi.org/10.1111/j.1467-9914.2009.00451.x
Publikationsstatus	Erschienen - 01.06.2009
Extern publiziert	Ja

Bibliographische Notiz

Parallel als Online-Ausg. erschienen unter der Adresse http://dx.doi.org/10.1111/j.1467-9914.2009.00451.x

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 1 – Keine Armut
SDG 5 – Gleichberechtigung der Geschlechter
SDG 8 – Anständige Arbeitsbedingungen und wirtschaftliches Wachstum
SDG 10 – Weniger Ungleichheiten

Fachgebiete und Schlagwörter

Volkswirtschaftslehre
Gender und Diversity

ASJC Scopus Sachgebiete

Geografie, Planung und Entwicklung
Demographie

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10.1111/j.1467-9914.2009.00451.x

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N2 - We use monthly personnel records of a large German company for the years 1999-2005 to analyse the gender wage gap (GWG). The unconditional GWG is 15 per cent for blue-collar and 26 per cent for white-collar workers. Different returns to entry age explain a substantial part of the GWG as well as segregation of men and women in different hierarchical levels. The relative GWG increases with increasing tenure for blue-collar but declines for white-collar workers. Taking into account the different impact of general and firm-specific human capital on white-collar and blue-collar occupation, this is consistent with theories of statistical discrimination.

AB - We use monthly personnel records of a large German company for the years 1999-2005 to analyse the gender wage gap (GWG). The unconditional GWG is 15 per cent for blue-collar and 26 per cent for white-collar workers. Different returns to entry age explain a substantial part of the GWG as well as segregation of men and women in different hierarchical levels. The relative GWG increases with increasing tenure for blue-collar but declines for white-collar workers. Taking into account the different impact of general and firm-specific human capital on white-collar and blue-collar occupation, this is consistent with theories of statistical discrimination.

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Analysing the gender wage gap (GWG) using personnel records

Abstract

Bibliographische Notiz

UN SDGs

Fachgebiete und Schlagwörter

ASJC Scopus Sachgebiete

Zugriff auf Dokument

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