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Analysing the Gender Wage Gap (GWG) Using Personnel Records


  • Christian Pfeifer
  • Tatjana Sohr


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. Copyright 2009 CEIS, Fondazione Giacomo Brodolini and Blackwell Publishing Ltd.

Suggested Citation

  • Christian Pfeifer & Tatjana Sohr, 2009. "Analysing the Gender Wage Gap (GWG) Using Personnel Records," LABOUR, CEIS, vol. 23(2), pages 257-282, June.
  • Handle: RePEc:bla:labour:v:23:y:2009:i:2:p:257-282

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    References listed on IDEAS

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    Cited by:

    1. Christian Pfeifer, 2015. "Effective working hours and wages: the case of downward adjustment via paid absenteeism," Economics Bulletin, AccessEcon, vol. 35(1), pages 612-626.
    2. Christian Pfeifer, 2014. "Base Salaries, Bonus Payments, and Work Absence among Managers in a German Company," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(5), pages 523-536, November.
    3. Shirai, Daichi & Nagamachi, Kohei & Eguchi, Naotaka, 2012. "The Impacts of Firms' Technology Choice on the Gender Differences in Wage and Time Allocation: A Cross-Country Analysis," MPRA Paper 56666, University Library of Munich, Germany, revised 13 Jun 2014.

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