2009
DOI: 10.1111/j.1467-9914.2009.00451.x
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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… Show more

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Cited by 11 publications
(7 citation statements)
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“… For a recent application of this decomposition method to individual, worker‐level, panel data see Pfeifer and Sohr (2009). For an application to Belgian data see Rycx and Tojerow (2002).…”
mentioning
confidence: 99%
“… For a recent application of this decomposition method to individual, worker‐level, panel data see Pfeifer and Sohr (2009). For an application to Belgian data see Rycx and Tojerow (2002).…”
mentioning
confidence: 99%
“…Building on the concept of labour market segmentation theory, FFWPs must also be sensitive to the needs of particular employment or industry sectors in addition to considering the needs of employees in primary and secondary groupings. For example, secondary grouping positions are mostly filled by women and other marginalized workers (Kraus and Yonay, 2000;Pfeifer and Sohr, 2009). According to Statistics Canada (2006), service industries such as teaching, health and sales predominantly employ women.…”
Section: Discussionmentioning
confidence: 99%
“…Such a consideration favors men because, on average, women have higher quit rates. A related argument is that women have, on average, higher absence rates than men and are therefore more expensive to employ in better paid jobs at higher levels (Pfeifer and Sohr 2008). The same rationale holds for the recruitment process (Renes and Ridder 1995;Winter-Ebmer and Zweimüller 1997, p. 48;Sattinger 1998).…”
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confidence: 93%