Analysing the gender wage gap (GWG) using personnel records

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Analysing the gender wage gap (GWG) using personnel records. / Pfeifer, Christian; Sohr, Tatjana.
In: Labour - Review of labour economics and industrial relations, Vol. 23, No. 2, 2009, p. 257-282.

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@article{1dfae9a2d5cf4d10af2cbacd5393c94e,
title = "Analysing the gender wage gap (GWG) using personnel records",
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.",
keywords = "Economics, Gender and Diversity",
author = "Christian Pfeifer and Tatjana Sohr",
note = "Parallel als Online-Ausg. erschienen unter der Adresse http://dx.doi.org/10.1111/j.1467-9914.2009.00451.x",
year = "2009",
doi = "10.1111/j.1467-9914.2009.00451.x",
language = "English",
volume = "23",
pages = "257--282",
journal = "Labour - Review of labour economics and industrial relations",
issn = "1121-7081",
publisher = "Wiley-Blackwell Publishing, Inc.",
number = "2",

}

RIS

TY - JOUR

T1 - Analysing the gender wage gap (GWG) using personnel records

AU - Pfeifer, Christian

AU - Sohr, Tatjana

N1 - Parallel als Online-Ausg. erschienen unter der Adresse http://dx.doi.org/10.1111/j.1467-9914.2009.00451.x

PY - 2009

Y1 - 2009

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.

KW - Economics

KW - Gender and Diversity

U2 - 10.1111/j.1467-9914.2009.00451.x

DO - 10.1111/j.1467-9914.2009.00451.x

M3 - Journal articles

VL - 23

SP - 257

EP - 282

JO - Labour - Review of labour economics and industrial relations

JF - Labour - Review of labour economics and industrial relations

SN - 1121-7081

IS - 2

ER -