IDEAS home Printed from https://ideas.repec.org/p/zbw/vfsc16/145733.html
   My bibliography  Save this paper

More female manager hires through more female managers? Evidence from Germany

Author

Listed:
  • Schank, Thorsten
  • Bossler, Mario
  • Mosthaf, Alexander

Abstract

Women are heavily underrepresented in management positions. This paper investigates if there is state dependence in the share of female manager hires in German plants to assess if increased female representation in management positions is sustainable. Using administrative data from the Integrated Employment Biographies of the IAB, we apply dynamic tobit models and dynamic linear models taking unobserved heterogeneity and the endogeneity of lagged dependent variables into account. We find that there is state dependence in the female share of manager hires. Dynamic linear models for the number of female manager hires also point to the sustainability of female manager hires showing that there is state dependence in the number of female manager hires. However, there is no state dependence in the number of male manager hires.

Suggested Citation

  • Schank, Thorsten & Bossler, Mario & Mosthaf, Alexander, 2016. "More female manager hires through more female managers? Evidence from Germany," VfS Annual Conference 2016 (Augsburg): Demographic Change 145733, Verein für Socialpolitik / German Economic Association.
    • Handle: RePEc:zbw:vfsc16:145733
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/145733/1/VfS_2016_pid_6746.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Mario Bossler & Philipp Grunau, 2020. "Asymmetric information in external versus internal promotions," Empirical Economics, Springer, vol. 59(6), pages 2977-2998, December.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Saygin, Perihan & Weber, Andrea & Weynandt, Michèle, 2014. "Coworkers, Networks, and Job Search Outcomes," IZA Discussion Papers 8174, Institute of Labor Economics (IZA).
    13. 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.
    14. 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).
    15. 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.
    16. 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.
    17. Steven Bednar & Dora Gicheva, 2014. "Are Female Supervisors More Female-Friendly?," American Economic Review, American Economic Association, vol. 104(5), pages 370-375, May.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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].
    24. repec:iab:iabfme:200909(en is not listed on IDEAS
    25. 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.
    26. 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.
    27. 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.
    28. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    29. 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].
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. Ann-Sophie De Pauw, 2016. "Do employer preferences contribute to sticky floors ?," Post-Print hal-01772258, HAL.
    35. 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).
    36. 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.
    37. 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.
    38. 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.
    39. 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].
    40. 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).
    41. repec:iab:iabfme:201105(en is not listed on IDEAS
    42. 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.
    43. 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.
    44. 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.
    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. 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).

    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. Mario Bossler & Alexander Mosthaf & Thorsten Schank, 2020. "Are Female Managers More Likely to Hire More Female Managers? Evidence from Germany," ILR Review, Cornell University, ILR School, vol. 73(3), pages 676-704, May.
    2. Agata Maida & Andrea Weber, 2022. "Female Leadership and Gender Gap within Firms: Evidence from an Italian Board Reform," ILR Review, Cornell University, ILR School, vol. 75(2), pages 488-515, March.
    3. Schoonjans, Eline & Hottenrott, Hanna & Buchwald, Achim, 2023. "Welcome on board? Appointment dynamics of women as directors," ZEW Discussion Papers 23-005, ZEW - Leibniz Centre for European Economic Research.
    4. Paola Profeta & Giacomo Pasini & Valeria Maggian & Ludovica Spinola, 2023. "The gender composition of supervisor-worker dyads: Career blocks and gender pay gap," French Stata Users' Group Meetings 2023 17, Stata Users Group.
    5. Xing, Lu & Gonzalez, Angelica & Sila, Vathunyoo, 2021. "Does cooperation among women enhance or impede firm performance?," The British Accounting Review, Elsevier, vol. 53(4).
    6. 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.
    7. Sule Alan & Corekcioglu & Mustafa Kaba & Matthias Sutter, 2023. "Female Leadership and Workplace Climate," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2023_09, Max Planck Institute for Research on Collective Goods.
    8. Tanaka, Takanori, 2019. "Gender diversity on Japanese corporate boards," Journal of the Japanese and International Economies, Elsevier, vol. 51(C), pages 19-31.
    9. 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).
    10. Steven Bednar & Dora Gicheva, 2018. "Career Implications of Having a Female-Friendly Supervisor," ILR Review, Cornell University, ILR School, vol. 71(2), pages 426-457, March.
    11. Morikawa, Masayuki, 2016. "What types of companies have female directors? Evidence from Japan," Japan and the World Economy, Elsevier, vol. 37, pages 1-7.
    12. Đặng, Rey & Houanti, L’Hocine & Reddy, Krishna & Simioni, Michel, 2020. "Does board gender diversity influence firm profitability? A control function approach," Economic Modelling, Elsevier, vol. 90(C), pages 168-181.
    13. Isabel Fernandez-Mateo & Roberto M. Fernandez, 2016. "Bending the Pipeline? Executive Search and Gender Inequality in Hiring for Top Management Jobs," Management Science, INFORMS, vol. 62(12), pages 3636-3655, December.
    14. Clark, Andrew E. & D’Ambrosio, Conchita & Zhu, Rong, 2021. "Job quality and workplace gender diversity in Europe," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 420-432.
    15. Steven Bednar & Dora Gicheva & Albert N. Link, 2021. "Innovative activity and gender dynamics," Small Business Economics, Springer, vol. 56(4), pages 1591-1599, April.
    16. 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.
    17. Francesco Devicienti & Elena Grinza & Alessandro Manello & Davide Vannoni, 2019. "What Are the Benefits of Having More Female Leaders? Evidence from the Use of Part-Time Work in Italy," ILR Review, Cornell University, ILR School, vol. 72(4), pages 897-926, August.
    18. Dalvit, Nicolò & Patel, Aseem & Tan, Joanne, 2022. "Intra-firm hierarchies and gender gaps," Labour Economics, Elsevier, vol. 77(C).
    19. Laura Hospido & Luc Laeven & Ana Lamo, 2022. "The Gender Promotion Gap: Evidence from Central Banking," The Review of Economics and Statistics, MIT Press, vol. 104(5), pages 981-996, December.
    20. Nikolaos Theodoropoulos & John Forth & Alex Bryson, 2019. "Are Women Doing It For Themselves? Gender Segregation and the Gender Wage Gap," DoQSS Working Papers 19-07, Quantitative Social Science - UCL Social Research Institute, University College London.

    More about this item

    JEL classification:

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:vfsc16:145733. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/vfsocea.html .

    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.