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More Female Manager Hires through More Female Managers? Evidence from Germany

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  • Bossler, Mario

    (Institute for Employment Research (IAB), Nuremberg)

  • Mosthaf, Alexander

    (University of Mainz)

  • Schank, Thorsten

    (University of Mainz)

Abstract

This paper investigates if there is state dependence in the gender composition of managers in German establishments. We analyze whether the number of hired female managers (respectively the share of females within hired managers) depends on the past hiring decisions of an establishment. Using administrative data, we apply dynamic linear models and dynamic tobit models accounting for unobserved heterogeneity and the endogeneity of lagged dependent variables. We find that an increase of female manager hires in present leads to more female hired managers in the future. Similarly, the number of male manager hires also exhibits state dependence.

Suggested Citation

  • Bossler, Mario & Mosthaf, Alexander & Schank, Thorsten, 2016. "More Female Manager Hires through More Female Managers? Evidence from Germany," IZA Discussion Papers 10240, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp10240
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    1. Mario Bossler & Philipp Grunau, 2020. "Asymmetric information in external versus internal promotions," Empirical Economics, Springer, vol. 59(6), pages 2977-2998, December.
    2. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    3. Andersen, Torben G & Sorensen, Bent E, 1996. "GMM Estimation of a Stochastic Volatility Model: A Monte Carlo Study," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 328-352, July.
    4. David Bjerk, 2008. "Glass Ceilings or Sticky Floors? Statistical Discrimination in a Dynamic Model of Hiring and Promotion," Economic Journal, Royal Economic Society, vol. 118(530), pages 961-982, July.
    5. 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.
    6. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    7. Lucifora, Claudio & Vigani, Daria, 2016. "What If Your Boss Is a Woman? Work Organization, Work-Life Balance and Gender Discrimination at the Workplace," IZA Discussion Papers 9737, Institute of Labor Economics (IZA).
    8. Bernhard Boockmann & Susanne Steffes, 2010. "Workers, Firms, or Institutions: What Determines Job Duration for Male Employees in Germany?," ILR Review, Cornell University, ILR School, vol. 64(1), pages 109-127, October.
    9. Schnabel Claus, 2016. "United, Yet Apart? A Note on Persistent Labour Market Differences between Western and Eastern Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(2), pages 157-179, March.
    10. Johannes F. Schmieder & Till von Wachter & Stefan Bender, 2012. "The Effects of Extended Unemployment Insurance Over the Business Cycle: Evidence from Regression Discontinuity Estimates Over 20 Years," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(2), pages 701-752.
    11. Olof Åslund & Lena Hensvik & Oskar Nordström Skans, 2014. "Seeking Similarity: How Immigrants and Natives Manage in the Labor Market," Journal of Labor Economics, University of Chicago Press, vol. 32(3), pages 405-441.
    12. Astrid Kunze & Amalia R. Miller, 2017. "Women Helping Women? Evidence from Private Sector Data on Workplace Hierarchies," The Review of Economics and Statistics, MIT Press, vol. 99(5), pages 769-775, December.
    13. Oberschachtsiek, Dirk & Scioch, Patrycja & Seysen, Christian & Heining, Jörg, 2009. "Stichprobe der Integrierten Erwerbsbiografien IEBS : Handbuch für die IEBS in der Fassung 2008," FDZ Datenreport. Documentation on Labour Market Data 200903_de, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    14. Farrell, Kathleen A. & Hersch, Philip L., 2005. "Additions to corporate boards: the effect of gender," Journal of Corporate Finance, Elsevier, vol. 11(1-2), pages 85-106, March.
    15. Stijn Baert & Ann-Sophie De Pauw & Nick Deschacht, 2016. "Do Employer Preferences Contribute to Sticky Floors?," ILR Review, Cornell University, ILR School, vol. 69(3), pages 714-736, May.
    16. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    17. Eberle, Johanna & Jacobebbinghaus, Peter & Ludsteck, Johannes & Witter, Julia, 2011. "Generation of time-consistent industry codes in the face of classification changes : Simple heuristic based on the Establishment History Panel (BHP)," FDZ Methodenreport 201105_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    18. Marianne Bertrand & Sandra E Black & Sissel Jensen & Adriana Lleras-Muney, 2019. "Breaking the Glass Ceiling? The Effect of Board Quotas on Female Labour Market Outcomes in Norway," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(1), pages 191-239.
    19. Victoria Prowse, 2012. "Modeling Employment Dynamics With State Dependence and Unobserved Heterogeneity," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 411-431, April.
    20. Ana Rute Cardoso & Rudolf Winter-Ebmer, 2010. "Female-Led Firms and Gender Wage Policies," ILR Review, Cornell University, ILR School, vol. 64(1), pages 143-163, October.
    21. Steven Bednar & Dora Gicheva, 2014. "Are Female Supervisors More Female-Friendly?," American Economic Review, American Economic Association, vol. 104(5), pages 370-375, May.
    22. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    23. Ann-Sophie De Pauw, 2016. "Do employer preferences contribute to sticky floors ?," Post-Print hal-01772258, HAL.
    24. Parrotta, Pierpaolo & Smith, Nina, 2013. "Why So Few Women on Boards of Directors? Empirical Evidence from Danish Companies 1997-2007," IZA Discussion Papers 7678, Institute of Labor Economics (IZA).
    25. 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.
    26. Kenneth R. Ahern & Amy K. Dittmar, 2012. "The Changing of the Boards: The Impact on Firm Valuation of Mandated Female Board Representation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(1), pages 137-197.
    27. Saygin, Perihan & Weber, Andrea & Weynandt, Michèle, 2014. "Coworkers, Networks, and Job Search Outcomes," IZA Discussion Papers 8174, Institute of Labor Economics (IZA).
    28. Hensvik, Lena, 2011. "Manager impartiality? Worker-firm matching and the gender wage gap," Working Paper Series 2011:22, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    29. Zapf, Ines, 2015. "Individual and workplace-specific determinants of paid and unpaid overtime work in Germany," IAB-Discussion Paper 201515, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    30. repec:iab:iabfme:201105(en is not listed on IDEAS
    31. Luca Flabbi & Mario Macis & Andrea Moro & Fabiano Schivardi, 2019. "Do Female Executives Make a Difference? The Impact of Female Leadership on Gender Gaps and Firm Performance," The Economic Journal, Royal Economic Society, vol. 129(622), pages 2390-2423.
    32. Booth, Alison L. & Francesconi, Marco & Frank, Jeff, 2003. "A sticky floors model of promotion, pay, and gender," European Economic Review, Elsevier, vol. 47(2), pages 295-322, April.
    33. 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.
    34. Rabe-Hesketh, Sophia & Skrondal, Anders, 2013. "Avoiding biased versions of Wooldridge’s simple solution to the initial conditions problem," Economics Letters, Elsevier, vol. 120(2), pages 346-349.
    35. Manuel Bagues & Mauro Sylos-Labini & Natalia Zinovyeva, 2017. "Does the Gender Composition of Scientific Committees Matter?," American Economic Review, American Economic Association, vol. 107(4), pages 1207-1238, April.
    36. David A. Matsa & Amalia R. Miller, 2013. "A Female Style in Corporate Leadership? Evidence from Quotas," American Economic Journal: Applied Economics, American Economic Association, vol. 5(3), pages 136-169, July.
    37. Muriel Niederle & Lise Vesterlund, 2007. "Do Women Shy Away From Competition? Do Men Compete Too Much?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1067-1101.
    38. Hirsch, Boris, 2013. "The impact of female managers on the gender pay gap: Evidence from linked employer–employee data for Germany," Economics Letters, Elsevier, vol. 119(3), pages 348-350.
    39. repec:iab:iabfme:200909(en is not listed on IDEAS
    40. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    41. 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.
    42. Johannes F. Schmieder† & Till von Wachter & Stefan Bender, 2011. "The Effects Of Extended Unemployment Insurance Over The Business Cycle: Evidence From Regression Discontinuity Estimates Over Twenty Years," Boston University - Department of Economics - Working Papers Series WP2011-063, Boston University - Department of Economics.
    43. Ines Zapf, 2015. "Individual and Workplace-Specific Determinants of Paid and Unpaid Overtime Work in Germany," SOEPpapers on Multidisciplinary Panel Data Research 771, DIW Berlin, The German Socio-Economic Panel (SOEP).
    44. Loudermilk, Margaret S., 2007. "Estimation of Fractional Dependent Variables in Dynamic Panel Data Models With an Application to Firm Dividend Policy," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 462-472, October.
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    Cited by:

    1. Magda, Iga & Cukrowska-Torzewska, Ewa, 2018. "Do Female Managers Help to Lower Within-Firm Gender Pay Gaps? Public Institutions vs. Private Enterprises," IZA Discussion Papers 12026, Institute of Labor Economics (IZA).

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    More about this item

    Keywords

    dynamic panel data models; state dependence; gender discrimination; female managers;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation

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