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Is innovative firm behavior correlated with age and gender composition of the workforce? Evidence from a new type of data for German enterprises

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Author Info

  • Christian Pfeifer

    ()
    (Leuphana University Lueneburg, Germany)

  • Joachim Wagner

    ()
    (Leuphana University Lueneburg, Germany)

Abstract

This empirical research note documents the relationship between composition of a firm's workforce (with a special focus on age and gender) and its performance with respect to innovative activities (outlays and employment in research and development (R&D)) for a large representative sample of enterprises from manufacturing industries in Germany using unique newly available data. We find that firms with a higher share of older workers have significantly lower proportions of R&D outlays in total revenues and of R&D employment in total employment, whereas firms with a higher share of female employment seem to be more active in R&D.

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Bibliographic Info

Paper provided by University of Lüneburg, Institute of Economics in its series Working Paper Series in Economics with number 256.

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Length: 18 pages
Date of creation: Dec 2012
Date of revision:
Handle: RePEc:lue:wpaper:256

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Web page: http://leuphana.de/institute/ivwl.html

Related research

Keywords: ageing; firm performance; gender; Germany; innovation; R&D;

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References

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  1. Pfeifer, Christian & Wagner, Joachim, 2012. "Age and Gender Composition of the Workforce, Productivity and Profits: Evidence from a New Type of Data for German Enterprises," IZA Discussion Papers 6381, Institute for the Study of Labor (IZA).
  2. Pfeiffer, Friedhelm & Reuß, Karsten, 2007. "Age-dependent Skill Formation and Returns to Education," ZEW Discussion Papers 07-015, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  3. Stephan Humpert & Christian Pfeifer, 2012. "Explaining Age and Gender Differences in Employment Rates: A Labor Supply Side Perspective," SOEPpapers on Multidisciplinary Panel Data Research 449, DIW Berlin, The German Socio-Economic Panel (SOEP).
  4. Pierpaolo Parrotta & Dario Pozzoli & Mariola Pytlikova, 2014. "The nexus between labor diversity and firm’s innovation," Journal of Population Economics, Springer, vol. 27(2), pages 303-364, April.
  5. Lutz Schneider, 2007. "Alterung und technologisches Innovationspotential : Eine Linked-Employer-Employee-Analyse," IWH Discussion Papers 2, Halle Institute for Economic Research.
  6. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-32, Nov.-Dec..
  7. Joachim Wagner, 2011. "The Quality of the KombiFiD-Sample of Enterprises from Manufacturing Industries: Evidence from a Replication Study," Working Paper Series in Economics 217, University of Lüneburg, Institute of Economics.
  8. Michael Fritsch & Bernd Görzig & Ottmar Hennchen & Andreas Stephan, 2004. "European Data Watch: Cost Structure Surveys for Germany," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 124(4), pages 557-566.
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