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.
| Original language | English |
|---|---|
| Journal | Labour - Review of labour economics and industrial relations |
| Volume | 23 |
| Issue number | 2 |
| Pages (from-to) | 257-282 |
| Number of pages | 26 |
| ISSN | 1121-7081 |
| DOIs | |
| Publication status | Published - 01.06.2009 |
| Externally published | Yes |
Bibliographical note
Parallel als Online-Ausg. erschienen unter der Adresse http://dx.doi.org/10.1111/j.1467-9914.2009.00451.xUN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 1 No Poverty -
SDG 5 Gender Equality -
SDG 8 Decent Work and Economic Growth -
SDG 10 Reduced Inequalities
Research areas and keywords
- Economics
- Gender and Diversity
ASJC Scopus Subject Areas
- Geography, Planning and Development
- Demography
Fingerprint
Dive into the research topics of 'Analysing the gender wage gap (GWG) using personnel records'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver