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2014 | 8 | nr 1 | 25--49
Tytuł artykułu

Age and Gender Effects of Workforce Composition on Productivity and Profits: Evidence from a New Type of Data for German Enterprises

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This empirical paper documents the relationship between the composition of a firm's workforce (with a special focus on age and gender) and its performance (productivity and profitability) for a large representative sample of enterprises from manufacturing industries in Germany using newly available, unique data. We find concave age-productivity profiles and a negative correlation of age on firms' profitability. Moreover, our micro-econometric analysis reveals for the first time that the ceteris paribus lower level of productivity in firms with a higher share of female employees does not go hand in hand with a lower level of profitability in these firms. (original abstract)
Rocznik
Tom
8
Numer
Strony
25--49
Opis fizyczny
Twórcy
  • Leuphana Universität Lüneburg, Germany
  • Leuphana Universität Lüneburg, Germany
Bibliografia
  • Alda, H., Bender, S., & Gartner, H. (2005). European Data Watch: The linked employer-employee dataset created from the IAB establishment panel and the process-produced data of the IAB (LIAB). Journal of Applied Social Science Studies, 125 (2), 327-336.
  • Babcock, L., & Laschever, S. (2003). Women don't ask: negotiation and the gender divide. Princeton, NJ: Princeton University Press.
  • Bartelsman, E. J., & Doms, M. (2000). Understanding Productivity: Lessons from Longitudinal Micro Data. Journal of Economic Literature, 38 (3), 569-594.
  • Becker, G. S. (1988). The economics of discrimination (10th ed.). Chicago, IL: University of Chicago Press.
  • Cardoso, A. R., Guimarares, P., & Varejao, J. (2011). Are older workers worthy of their pay? An empirical investigation of age-productivity and age-wage nexuses. De Economist, 159 (2), 95-111.
  • Cataldi, A., Kampelmann, S., & Rycx, F. (2011). Productivity-wage gaps among age groups: does the ICT en-vironment matter? De Economist, 159 (2), 193-221.
  • Dostie, B. (2011). Wages, productivity and aging. De Economist, 159 (2), 139-158.
  • European Commission (1998). Commission Regulation (EC) No. 2700/98 concerning the definitions of characteristics for structural business statistics, Brussels. Official Journal of the European Communities L344, 18/12/1998, 49-80.
  • Fischer, G., Janik, F., Müller, D., & Schmucker, A. (2009). European Data Watch: The IAB Establishment Panel - things users should know. Schmollers Jahrbuch - Journal of Applied Social Science Studies, 129 (1), 133-148.
  • Foster, L., Haltiwanger, J., & Syverson, C. (2008). Reallocation, Firm Turnover, and Efficiency: Selection on Productivity or Profitability? American Economic Review, 98 (1), 394-425.
  • Fritsch, M., Görzig, B., Hennchen, O., & Stephan, A. (2004). European Data Watch: Cost Structure Surveys for Germany. Schmollers Jahrbuch - Journal of Applied Social Science Studies, 124 (4), 557-566.
  • Göbel, C., & Zwick, T. (2012). Age and productivity: sector differences. De Economist, 160 (1), 35-57.
  • Grund, C., & Westergaard-Nielsen, N. (2008). Age structure of the workforce and firm performance. International Journal of Manpower, 29 (5), 410-422.
  • Haltiwanger, J. C., Lange, J. I., & Spletzer, J. R. (1999). Productivity differences across employers: the roles of employer size, age and human capital. American Economic Review, 89 (2), 94-98.
  • Hethey-Maier, T., & Seth, S. (2010). Das Betriebs-Historik-Panel (BHP) 1975 - 2008. Handbuch Version 1.0.2. Forschungsdatenzentrum der Bundesagentur für Arbeit im Institut für Arbeitsmarkt- und Berufsforschung, FDZ-Datenreport 04/2010. [The IAB Establishment History Panel 1975 - 2008. Handbook Version 1.0.2. Research Data Centre of the Federal Employment Agency at the Institute for Employment Research, FDZ Datenreport Series 04/2010EN]. Nuremberg. Retrieved from http://doku.iab.de/fdz/reporte/2010/DR_04-10.pdf.
  • Heywood, J. S., Jirjahn, U., & Tsertsvardze, G. (2010). Hiring older workers and employing older workers: German evidence. Journal of Population Economics, 23 (2), 595-615.
  • Humpert, S., & Pfeifer, C. (2013). Explaining age and gender differences in employment rates: a labor supply side perspective. Journal of Labor Market Research, 46 (1), 1-17.
  • Hutchens, R. M. (1986). Delayed payment contracts and a firm's propensity to hire older workers. Journal of Labor Economics, 4 (4), 439-457.
  • Ilmakunnas, P., & Ilmakunnas, S. (2011). Diversity at the workplace: whom does it benefit? De Economist, 159 (2), 223-255.
  • International Study Group on Exports and Productivity. (2008). Understanding Cross-Country Differences in Exporter Premia: Comparable Evidence for 14 Countries. Review of World Economics 144 (4), 596-635.
  • Koenker, R. (2005). Quantile Regression. Cambridge, UK: Cambridge University Press.
  • Lallemand, T., & Rycx, F. (2009). Are older workers harmful for firm productivity? De Economist, 157 (3), 273-292.
  • Lallemand, T., Plasman, R., & Rycx, F. (2003). Intra-firm wage dispersion and firm performance: a review and empirical tests of Belgian data. Brussels Economic Review, 46 (4), 5-29.
  • Lazear, E. P. (1979). Why is there mandatory retirement? Journal of Political Economy, 87 (6), 1261-1284.
  • Liu, J. T., Tsou, M. W., & Wang, P. (2010). Workforce composition and firm productivity: evidence from Taiwan. Economic Inquiry, 48 (4), 1032-1047.
  • Mincer, J. (1974). Schooling, experience, and earnings. New York, NY: National Bureau of Economic Research.
  • Parrotta, P., Pozzoli, D., & Pytlikova, M. (2010), Does labor diversity affect firm productivity? (Working Paper No. 10-12). Aarhus School of Business, Department of Economics.
  • Roodman, D. (2009). How to do xtabond2: an introduction to difference and system GMM in Stata. The Stata Journal, 9 (1), 86-136.
  • Rousseeuw, P. J., & Leroy, A. M. (1987). Robust Regression and Outlier Detection. New York, NY: John Wiley and Sons.
  • Spengler, A. (2008). The European Data Watch: The Establishment History Panel. Schmollers Jahrbuch -Journal of Applied Social Science Studies, 128 (3), 501-509.
  • Syverson, C. (2011). What determines productivity? Journal of Economic Literature, 49 (2), 326-365.
  • van Ours, J. C., & Stoeldraijer, L. (2011). Age, wage and productivity in Dutch manufacturing. De Economist, 159 (2), 113-137.
  • Vandenberghe, V. (2011a). Boosting the employment rate of older men and women: an empirical assessment using Belgian firm-level data on productivity and labour costs. De Economist, 159 (2), 159-191.
  • Vandenberghe, V. (2011b). Firm-level evidence on gender wage discrimination in the Belgian private economy. LABOUR, 25 (3), 330-349.
  • Verardi, V., & Croux, C. (2009). Robust regression in Stata. The Stata Journal, 9 (3), 439-453.
  • Wagner, J. (2012). The Quality of the KombiFiD-Sample of Enterprises from Manufacturing Industries: Evidence from a Replication Study. Schmollers Jahrbuch - Journal of Applied Social Science Studies, 132 (3), 379-392.
  • Yasar, M., Nelson, C. H., & Rejesus, R. (2006). Productivity and Exporting Status of Manufacturing Firms: Evidence from Quantile Regressions. Review of World Economics, 142 (4), 675-694.
  • Zühlke, S., Zwick, M., Scharnhorst, S., & Wende, T. (2004). European Data Watch: The research data centres of the Federal Statistical Office and the statistical offices of the Länder. Schmollers Jahrbuch- Journal of Applied Social Science Studies, 124 (4), 567-578.
Typ dokumentu
Bibliografia
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Identyfikator YADDA
bwmeta1.element.ekon-element-000171287781

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