IDEAS home Printed from https://ideas.repec.org/a/nms/mamere/mrev-2014-03-seifert.html
   My bibliography  Save this article

Occupational segregation and organizational characteristics. Empirical evidence for Germany

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.nomos-elibrary.de/10.5771/0935-9915-2014-3-185
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jan Kluge & Michael Weber, 2016. "Was erklärt die Lohnunterschiede zwischen Ost- und Westdeutschland?," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 23(02), pages 03-09, April.
    2. Mario Bossler & Alexander Mosthaf & Thorsten Schank, 2016. "More Female Manager Hires through More Female Managers? Evidence from Germany," Working Papers 1618, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    3. Michael Weber & Jan Kluge, 2015. "Decomposing the German East-West wage gap," ERSA conference papers ersa15p636, European Regional Science Association.
    4. Jan Kluge & Michael Weber, 2018. "Decomposing the German East–West wage gap," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(1), pages 91-125, January.
    5. Matt L. Huffman & Joe King & Malte Reichelt, 2017. "Equality for Whom? Organizational Policies and the Gender Gap across the German Earnings Distribution," ILR Review, Cornell University, ILR School, vol. 70(1), pages 16-41, January.
    6. Glitz, Albrecht, 2014. "Ethnic segregation in Germany," Labour Economics, Elsevier, vol. 29(C), pages 28-40.
    7. Nguimkeu, Pierre & Zeufack, Albert, 2024. "Manufacturing in structural change in Africa," World Development, Elsevier, vol. 177(C).
    8. Babigumira, Ronnie & Angelsen, Arild & Buis, Maarten & Bauch, Simone & Sunderland, Terry & Wunder, Sven, 2014. "Forest Clearing in Rural Livelihoods: Household-Level Global-Comparative Evidence," World Development, Elsevier, vol. 64(S1), pages 67-79.
    9. Lily Y. Liu, 2017. "Estimating Loss Given Default from CDS under Weak Identification," Supervisory Research and Analysis Working Papers RPA 17-1, Federal Reserve Bank of Boston.
    10. Kimmich, Christian & Fischbacher, Urs, 2016. "Behavioral determinants of supply chain integration and coexistence," Journal of Forest Economics, Elsevier, vol. 25(C), pages 55-77.
    11. Alessandro Barattieri & Matteo Cacciatore, 2023. "Self-Harming Trade Policy? Protectionism and Production Networks," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(2), pages 97-128, April.
    12. Meyer, Ina & Kaniovski, Serguei & Scheffran, Jürgen, 2012. "Scenarios for regional passenger car fleets and their CO2 emissions," Energy Policy, Elsevier, vol. 41(C), pages 66-74.
    13. Tesfaye, Wondimagegn & Tirivayi, Nyasha, 2020. "Crop diversity, household welfare and consumption smoothing under risk: Evidence from rural Uganda," World Development, Elsevier, vol. 125(C).
    14. Alós-Ferrer, Carlos & Garagnani, Michele, 2020. "The cognitive foundations of cooperation," Journal of Economic Behavior & Organization, Elsevier, vol. 175(C), pages 71-85.
    15. Nicole M. Mason & Thomas S. Jayne & Nicolas van de Walle, 2017. "The Political Economy of Fertilizer Subsidy Programs in Africa: Evidence from Zambia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 705-731.
    16. Katie Meara & Francesco Pastore & Allan Webster, 2020. "The gender pay gap in the USA: a matching study," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(1), pages 271-305, January.
    17. Svetlana Andrianova & Badi H. Baltagi & Panicos Demetriades & David Fielding, 2017. "Ethnic Fractionalization, Governance and Loan Defaults in Africa," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 435-462, August.
    18. Amat Adarov & Robert Stehrer, 2020. "Capital dynamics, global value chains, competitiveness and barriers to FDI and capital accumulation in the EU," JRC Research Reports JRC121096, Joint Research Centre.
    19. Oliver Himmler & Robert Schwager, 2013. "Double Standards in Educational Standards – Do Schools with a Disadvantaged Student Body Grade More Leniently?," German Economic Review, Verein für Socialpolitik, vol. 14(2), pages 166-189, May.
    20. Tiwari A.K. & Mohnen P. & Palm F.C. & Schim van der Loeff S., 2013. "Microeconometric evidence of financing frictions and innovative activity - a revision," MERIT Working Papers 2013-027, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nms:mamere:mrev-2014-03-seifert. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Nomos Verlagsgesellschaft mbH & Co. KG (email available below). General contact details of provider: http://www.nomos.de/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.