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Occupational segregation and organizational characteristics. Empirical evidence for Germany

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  • Seifert, Stefanie
  • Schlenker, Eva

Abstract

This article studies the extent of occupational gender segregation in Germany and analyzes the influence of organizational characteristics on the extent of firm level segregation. We use the 2004 and 2008 survey waves of the Linked-Employer-Employee dataset at the IAB (LIAB) and estimate panel data models for the identification of effects on the corrected dissimilarity index. We find that the link between the level of segregation and organizational characteristics such as gender mainstreaming, formalization and the proportion of women in management positions depends on features of organizational demographics. The results can be utilized by businesses and politics to identify levers for the reduction of segregation.

Suggested Citation

  • Seifert, Stefanie & Schlenker, Eva, 2014. "Occupational segregation and organizational characteristics. Empirical evidence for Germany," management revue - Socio-Economic Studies, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 25(3), pages 185-206.
    • Handle: RePEc:nms:mamere:mrev-2014-03-seifert
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    File URL: https://www.nomos-elibrary.de/10.5771/0935-9915-2014-3-185
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    References listed on IDEAS

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    1. Papke, Leslie E. & Wooldridge, Jeffrey M., 2008. "Panel data methods for fractional response variables with an application to test pass rates," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 121-133, July.
    2. repec:iab:iabfda:201302(en is not listed on IDEAS
    3. Heining, Jörg & Scholz, Theresa & Seth, Stefan, 2013. "Linked-Employer-Employee data from the IAB: LIAB cross-sectional model 2 1993-2010 (LIAB QM2 9310)," FDZ Datenreport. Documentation on Labour Market Data 201302_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    4. Cynthia Bansak & Mary E. Graham & Allan A. Zebedee, 2012. "Business Cycles and Gender Diversification: An Analysis of Establishment-Level Gender Dissimilarity," American Economic Review, American Economic Association, vol. 102(3), pages 561-565, May.
    5. Johannes Ludsteck, 2014. "The Impact of Segregation and Sorting on the Gender Wage Gap: Evidence from German Linked Longitudinal Employer-Employee Data," ILR Review, Cornell University, ILR School, vol. 67(2), pages 362-394, April.
    6. Jürges Hendrik & Schneider Kerstin, 2011. "Why Young Boys Stumble: Early Tracking, Age and Gender Bias in the German School System," German Economic Review, De Gruyter, vol. 12(4), pages 371-394, December.
    7. Francine Blau & Peter Brummund & Albert Liu, 2013. "Trends in Occupational Segregation by Gender 1970–2009: Adjusting for the Impact of Changes in the Occupational Coding System," Demography, Springer;Population Association of America (PAA), vol. 50(2), pages 471-492, April.
    8. Beblo, Miriam & Heinze, Anja & Wolf, Elke, 2008. "Entwicklung der beruflichen Segregation von Männern und Frauen zwischen 1996 und 2005 : eine Bestandsaufnahme auf betrieblicher Ebene (Occupational segregation of men and women between 1996 and 2005 :," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 41(2/3), pages 181-198.
    9. Carrington, William J & Troske, Kenneth R, 1997. "On Measuring Segregation in Samples with Small Units," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(4), pages 402-409, October.
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    Cited by:

    1. Bod’a, Martin & Považanová, Mariana, 2021. "Output-unemployment asymmetry in Okun coefficients for OECD countries," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 307-323.

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    More about this item

    Keywords

    gender segregation; panel data models; dissimilarity index; gender inequality;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • M50 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - General

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