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Gender board diversity across Europe throughout four decades

Author

Listed:
  • Hubert Drazkowski

    (Group for Research in Applied Economics (GRAPE))

  • Joanna Tyrowicz

    (Group for Research in Applied Economics (GRAPE)
    University of Warsaw
    Institute of Labor Economics (IZA))

  • Sebastian Zalas

    (Group for Research in Applied Economics (GRAPE))

Abstract

We present a Gender Board Diversity Dataset (GBDD), which provides a cross-country perspective on women in management and supervisory boards that spans between 1985 and 2020. The data covers 43 European countries and accounts for private companies in addition to the stock-listed ones. GBBD was created using firm-level Orbis data. Our measures are based on a sample of more than 28 million unique firms observed for nearly seven years on average and reporting data about nearly 59 million individuals on management and supervisory boards. We provide the measures at the level of industry, country and year (the firm-level data is proprietary). We provide three measures. The first is the share of women among all board members in a given industry, country, and year. The second one is the average of the shares of women across firms in a given industry, country and year. We also provide a new measure: the share of firms in a given industry, country and year which report no single woman on their board(s).

Suggested Citation

  • Hubert Drazkowski & Joanna Tyrowicz & Sebastian Zalas, 2023. "Gender board diversity across Europe throughout four decades," GRAPE Working Papers 87, GRAPE Group for Research in Applied Economics.
    • Handle: RePEc:fme:wpaper:87
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    References listed on IDEAS

    as
    1. Gita Gopinath & Şebnem Kalemli-Özcan & Loukas Karabarbounis & Carolina Villegas-Sanchez, 2017. "Capital Allocation and Productivity in South Europe," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1915-1967.
    2. David A. Matsa & Amalia R. Miller, 2011. "Chipping Away at the Glass Ceiling: Gender Spillovers in Corporate Leadership," American Economic Review, American Economic Association, vol. 101(3), pages 635-639, May.
    3. Matej Bajgar & Giuseppe Berlingieri & Sara Calligaris & Chiara Criscuolo & Jonathan Timmis, 2020. "Coverage and representativeness of Orbis data," OECD Science, Technology and Industry Working Papers 2020/06, OECD Publishing.
    4. Steven A. Brieger & Claude Francoeur & Christian Welzel & Walid Ben-Amar, 2019. "Empowering Women: The Role of Emancipative Forces in Board Gender Diversity," Journal of Business Ethics, Springer, vol. 155(2), pages 495-511, March.
    5. Joanna Tyrowicz & Siri Terjesen & Jakub Mazurek, 2017. "All on board? New evidence on board gender diversity from a large panel of firms," GRAPE Working Papers 5, GRAPE Group for Research in Applied Economics.
    6. Sebnem Kalemli-Ozcan & Bent Sorensen & Carolina Villegas-Sanchez & Vadym Volosovych & Sevcan Yesiltas, 2015. "How to Construct Nationally Representative Firm Level Data from the Orbis Global Database: New Facts and Aggregate Implications," NBER Working Papers 21558, National Bureau of Economic Research, Inc.
    7. Nikolaos Theodoropoulos & John Forth & Alex Bryson, 2022. "Are Women Doing It for Themselves? Female Managers and the Gender Wage Gap," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(6), pages 1329-1355, December.
    8. Siri Terjesen & Val Singh, 2008. "Female Presence on Corporate Boards: A Multi-Country Study of Environmental Context," Journal of Business Ethics, Springer, vol. 83(1), pages 55-63, November.
    9. David A. Matsa & Amalia R. Miller, 2011. "Chipping Away at the Glass Ceiling: Gender Spillovers in Corporate Leadership," American Economic Review, American Economic Association, pages 635-639.
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    More about this item

    Keywords

    gender; board; diversity;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • M51 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Firm Employment Decisions; Promotions
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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