IDEAS home Printed from https://ideas.repec.org/p/zbw/zewdip/09020.html
   My bibliography  Save this paper

Age and productivity: evidence from linked employer employee data

Author

Listed:
  • Göbel, Christian
  • Zwick, Thomas

Abstract

In most Western, industrialised countries the workforce is ageing rapidly. In order to assess the possible consequences of an ageing workforce, this paper measures the impact of changes in the age structure of establishments on productivity using representative linked employer-employee panel data. We take into account that the levels as well as the changes in the age structure of establishments and their production are likely to be simultaneously determined and apply dynamic GMM methods. We find that establishment productivity increases with the share of employees until the age of 50-55 and only decreases slightly afterwards. Our findings suggest that previous estimations are biased because they either do not take into account endogeneity, time dependencies, or crucial information correlated with age shares and productivity. Large standard deviations point to important variation in the age productivity profile among establishments.

Suggested Citation

  • Göbel, Christian & Zwick, Thomas, 2009. "Age and productivity: evidence from linked employer employee data," ZEW Discussion Papers 09-020, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:09020
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/27702/1/599989300.PDF
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Addison, John T. & Teixeira, Paulino & Zwick, Thomas, 2006. "Works Councils and the Anatomy of Wages," IZA Discussion Papers 2474, Institute of Labor Economics (IZA).
    2. Benoit Dostie, 2011. "Wages, Productivity and Aging," De Economist, Springer, vol. 159(2), pages 139-158, June.
    3. Thierry Lallemand & François Rycx, 2009. "Are Older Workers Harmful for Firm Productivity?," De Economist, Springer, vol. 157(3), pages 273-292, September.
    4. Stephen Bond & Måns Söderbom, 2005. "Adjustment Costs and the Identification of Cobb Douglas Production Functions," Economics Papers 2005-W04, Economics Group, Nuffield College, University of Oxford.
    5. 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.
    6. repec:iab:iabfme:200502(en is not listed on IDEAS
    7. Judith K. Hellerstein & David Neumark, 1995. "Are Earnings Profiles Steeper Than Productivity Profiles? Evidence from Israeli Firm-Level Data," Journal of Human Resources, University of Wisconsin Press, vol. 30(1), pages 89-112.
    8. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    9. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    10. 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.
    11. Torbjørn Haegeland & Tor Jakob Klette & Kjell G. Salvanes, 1999. "Declining Returns to Education in Norway? Comparing Estimates across Cohorts, Sectors and over Time," Scandinavian Journal of Economics, Wiley Blackwell, vol. 101(4), pages 555-576, December.
    12. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    13. Julia I. Lane & John C. Haltiwanger & James Spletzer, 1999. "Productivity Differences across Employers: The Roles of Employer Size, Age, and Human Capital," American Economic Review, American Economic Association, vol. 89(2), pages 94-98, May.
    14. Judith K. Hellerstein & David Neumark, 2007. "Production Function and Wage Equation Estimation with Heterogeneous Labor: Evidence from a New Matched Employer-Employee Data Set," NBER Chapters, in: Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches, pages 31-71, National Bureau of Economic Research, Inc.
    15. Thierry Lallemand & François Rycx, 2009. "Are Young and Old WorkersS Harmful for Firm Productivity ?," Working Papers CEB 09-002.RS, ULB -- Universite Libre de Bruxelles.
    16. Gartner, Hermann, 2005. "The imputation of wages above the contribution limit with the German IAB employment sample," FDZ-Methodenreport 200502 (en), Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    17. Ackerberg, Daniel & Caves, Kevin & Frazer, Garth, 2006. "Structural identification of production functions," MPRA Paper 38349, University Library of Munich, Germany.
    18. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    19. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    20. Gartner, Hermann, 2005. "The imputation of wages above the contribution limit with the German IAB employment sample," FDZ Methodenreport 200502_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    21. Zwick, Thomas, 2008. "The Employment Consequences of Seniority Wages," ZEW Discussion Papers 08-039, ZEW - Leibniz Centre for European Economic Research.
    22. Christian Grund & Niels Westergaard‐Nielsen, 2008. "Age structure of the workforce and firm performance," International Journal of Manpower, Emerald Group Publishing Limited, vol. 29(5), pages 410-422, August.
    23. Pekka Ilmakunnas & Mika Maliranta, 2005. "Technology, Labour Characteristics and Wage‐productivity Gaps," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(5), pages 623-645, October.
    24. Jacobebbinghaus, Peter, 2008. "LIAB-Datenhandbuch, Version 3.0," FDZ Datenreport. Documentation on Labour Market Data 200803_de, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    25. Stephan Veen, 2008. "Demographischer Wandel, alternde Belegschaften und Betriebsproduktivitaet," Books, Rainer Hampp Verlag, edition 1, number 9783866183063.
    26. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    27. Daniel, Kirsten & Heywood, John S., 2007. "The determinants of hiring older workers: UK evidence," Labour Economics, Elsevier, vol. 14(1), pages 35-51, January.
    28. Börsch-Supan, Axel & Düzgün, Ismail & Weiss, Matthias, 2005. "Altern und Produktivität: Zum Stand der Forschung," MEA discussion paper series 05073, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    29. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    30. Zwick, Thomas, 2004. "Employee participation and productivity," Labour Economics, Elsevier, vol. 11(6), pages 715-740, December.
    31. Stephen Bond & Måns Söderbom, 2005. "Adjustment Costs and the Identification of Cobb Douglas Production Functions," Economics Series Working Papers 2005-W04, University of Oxford, Department of Economics.
    Full references (including those not matched with items on IDEAS)

    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. Christian Göbel & Thomas Zwick, 2012. "Age and Productivity: Sector Differences," De Economist, Springer, vol. 160(1), pages 35-57, March.
    2. François Rycx & Yves Saks & Ilan Tojerow, 2015. "Does Education Raise Productivity and Wages Equally? The Moderating Roles of Age, Gender and Industry," Working Paper Research 281, National Bank of Belgium.
    3. Stephan Kampelmann & François Rycx & Yves Saks & Ilan Tojerow, 2018. "Does education raise productivity and wages equally? The moderating role of age and gender," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-37, December.
    4. Almeida, Rita & Carneiro, Pedro, 2009. "The return to firm investments in human capital," Labour Economics, Elsevier, vol. 16(1), pages 97-106, January.
    5. Benoît Mahy & François Rycx & Guillaume Vermeylen & Mélanie Volral, 2018. "Productivity, wages and profits: Does firms’ position in the value chain matter?," Working Paper Research 358, National Bank of Belgium.
    6. Vandenberghe, V., 2013. "Are firms willing to employ a greying and feminizing workforce?," Labour Economics, Elsevier, vol. 22(C), pages 30-46.
    7. Börsch-Supan, Axel & Weiss, Matthias, 2016. "Productivity and age: Evidence from work teams at the assembly line," The Journal of the Economics of Ageing, Elsevier, vol. 7(C), pages 30-42.
    8. Dobbelaere, Sabien & Kiyota, Kozo & Mairesse, Jacques, 2015. "Product and labor market imperfections and scale economies: Micro-evidence on France, Japan and the Netherlands," Journal of Comparative Economics, Elsevier, vol. 43(2), pages 290-322.
    9. V. Vandenberghe & F. Waltenberg & M. Rigo, 2013. "Ageing and employability. Evidence from Belgian firm-level data," Journal of Productivity Analysis, Springer, vol. 40(1), pages 111-136, August.
    10. Romina Giuliano & Stephan Kampelmann & Benoît Mahy & François Rycx, 2017. "Short Notice, Big Difference? The Effect of Temporary Employment on Firm Competitiveness across Sectors," British Journal of Industrial Relations, London School of Economics, vol. 55(2), pages 421-449, June.
    11. Jinhyung Lee & Jeffrey S. McCullough & Robert J. Town, 2013. "The impact of health information technology on hospital productivity," RAND Journal of Economics, RAND Corporation, vol. 44(3), pages 545-568, September.
    12. Trax, Michaela & Brunow, Stephan & Suedekum, Jens, 2015. "Cultural diversity and plant-level productivity," Regional Science and Urban Economics, Elsevier, vol. 53(C), pages 85-96.
    13. Aguirregabiria, Victor, 2009. "Econometric Issues and Methods in the Estimation of Production Functions," MPRA Paper 15973, University Library of Munich, Germany.
    14. Göbel, Christian & Zwick, Thomas, 2010. "Which personnel measures are effective in increasing productivity of old workers?," ZEW Discussion Papers 10-069, ZEW - Leibniz Centre for European Economic Research.
    15. Göbel, Christian & Zwick, Thomas, 2013. "Are personnel measures effective in increasing productivity of old workers?," Labour Economics, Elsevier, vol. 22(C), pages 80-93.
    16. Sergey Lychagin & Joris Pinkse & Margaret E. Slade & John Van Reenen, 2016. "Spillovers in Space: Does Geography Matter?," Journal of Industrial Economics, Wiley Blackwell, vol. 64(2), pages 295-335, June.
    17. Coviello, Decio & Islam, Roumeen, 2006. "Does aid help improve economic institutions ?," Policy Research Working Paper Series 3990, The World Bank.
    18. Benoit Dostie, 2011. "Wages, Productivity and Aging," De Economist, Springer, vol. 159(2), pages 139-158, June.
    19. Simon Pröll & Giannis Karagiannis & Klaus Salhofer, 2019. "Advertising and Markups: The Case of the German Brewing Industry," Working Papers 732019, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    20. Alessandra Cataldi & Stephan Kampelmann & François Rycx, 2012. "Does it pay to be productive? The case of age groups," International Journal of Manpower, Emerald Group Publishing Limited, vol. 33(3), pages 264-283, June.

    More about this item

    Keywords

    ageing workforce; age; productivity; LEED; system GMM;
    All these keywords.

    JEL classification:

    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

    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:zewdip:09020. 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/zemande.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.