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Analysing the Gender Wage Gap Using Personnel Records of a Large German Company

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  • Pfeifer, Christian

    (Leuphana University Lüneburg)

  • Sohr, Tatjana

    (Leibniz University of Hannover)

Abstract

We use monthly personnel records of a large German company to analyse the gender wage gap (GWG). Main findings are: (1) the unconditional GWG is 15 percent for blue-collar and 26 percent for white-collar workers; (2) conditional on tenure, entry age, schooling, and working hours, the GWG is 13 percent for blue-collar as well as for white-collar workers; (3) after additionally controlling for hierarchical levels, the GWG is less than 4 percent for blue-collar and 8 percent for white-collar workers; (4) Oaxaca decompositions reveal that the unexplained part of the GWG is 87 percent for blue-collar workers and 46 percent for white-collar workers; (5) males have larger absolute wage growths than females; (6) the relative GWG gets larger with tenure for blue-collar but smaller for white-collar workers; (7) individual absenteeism has no significant impact on the GWG; (8) the gender gap in absenteeism is between 26 and 46 percent. Overall, the results are consistent with statistical discrimination explanations of the gender wage gap, though we cannot rule out other forms of discrimination. A simple model within the context of absenteeism and statistical discrimination is offered.

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  • Pfeifer, Christian & Sohr, Tatjana, 2008. "Analysing the Gender Wage Gap Using Personnel Records of a Large German Company," IZA Discussion Papers 3533, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp3533
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    Cited by:

    1. Christian Pfeifer, 2011. "Handicaps in Job Assignment: Insiders, Outsiders and Gender," Journal of Labor Research, Springer, vol. 32(1), pages 1-20, March.
    2. Christian Pfeifer, 2009. "Adjustment of Deferred Compensation Schemes, Fairness Concerns, and Hiring of Older Workers," Working Paper Series in Economics 151, University of Lüneburg, Institute of Economics.
    3. Pfeifer, Christian, 2009. "An Intra-Firm Perspective on Wage Profiles and Employment of Older Workers with Special Reference to Human Capital and Deferred Compensation," Hannover Economic Papers (HEP) dp-413, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    4. Markussen, Simen, 2009. "The Effects of Sick-Leaves on Earnings," Memorandum 20/2009, Oslo University, Department of Economics.

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    More about this item

    Keywords

    gender; personnel data; absenteeism; statistical discrimination; wage differentials;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • M5 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics

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