Journal of Productivity Analysis

, Volume 46, Issue 1, pp 43–62 | Cite as

How does the age structure of worker flows affect firm performance?

Article

Abstract

We develop a method for decomposing firm performance to impacts coming from the inflows and outflows of workers and apply it to study whether older workers are costly to firms. Our estimation equations are derived from a variant of the decomposition methods frequently used for measuring micro-level sources of industry productivity growth. By using comprehensive linked employer–employee data, we study the productivity and wage effects, and hence the profitability effects, of the hiring and separation of younger and older workers. The evidence shows that the separations of older workers are profitable to firms, especially in the manufacturing ICT-industries. To account for the correlation of the worker flows and productivity shocks we first estimate the shocks from a production function using materials as a proxy variable. In the second step the estimated shock is used as a control variable in our productivity, wage, and profitability equations.

Keywords

Aging Productivity Wage Profits Hiring Separation Employer–employee data 

JEL Classification

J23 J24 J63 M51 

References

  1. Abowd JM, Kramarz F (1999) The analysis of labor markets using matched employer–employee data. In: Ashenfelter O, Card D (eds) Handbook of labor economics, vol 3b. Elsevier, Amsterdam, pp 2629–2710Google Scholar
  2. Ackerberg D, Benkard CL, Berry S, Pakes A (2007) Econometric tools for analyzing market outcomes. In: Heckman JJ, Leamer EE (eds) Handbook of econometrics, vol 6. Elsevier, Amsterdam, pp 4171–4276Google Scholar
  3. Aghion P, Howitt P (1996) The observational implications of Schumpeterian growth theory. Empir Econ 21:13–25CrossRefGoogle Scholar
  4. Althin R, Färe R, Grosskopf S (1996) Profitability and productivity changes: an application to Swedish pharmacies. Ann Oper Res 66:219–230CrossRefGoogle Scholar
  5. Aubert P, Crépon B (2003) La productivité des salariés âgés: une tentative d’estimation. Écon Stat 368:95–119Google Scholar
  6. Aubert P, Caroli E, Roger M (2006) New technologies, organisations and age: firm-level evidence. Econ J 116:73–93CrossRefGoogle Scholar
  7. Balk BM (2010) Measuring productivity change without neoclassical assumptions: a conceptual analysis. In: Diewert WE, Balk BM, Fixler D, Fox KJ, Nakamura A (eds) Price and productivity measurement, vol 6., Index Number TheoryTrafford Press, Victoria, pp 133–154Google Scholar
  8. Balk BM (2016) The dynamics of productivity change: a review of the bottom-up approach. In: Greene WH, Khalaf LC, Sickles, R, Veall M, Voia MC (eds) Productivity and Efficiency Analysis, Springer Proceedings in Business and Economics, pp 15–49Google Scholar
  9. Balsvik R (2011) Is labor mobility a channel for spillovers from multinationals? Evidence from Norwegian manufacturing. Rev Econ Stat 93:285–297CrossRefGoogle Scholar
  10. Bingley P, Westergaard-Nielsen N (2004) Personnel policy and profit. J Bus Res 57:557–563CrossRefGoogle Scholar
  11. Boschma R, Eriksson R, Lindgren U (2009) How does labour mobility affect the performance of plants? The importance of relatedness and geographical proximity. J Econ Geogr 9:169–190CrossRefGoogle Scholar
  12. Cataldi A, Kampelmann S, Rycx F (2011) Productivity-wage gaps among age groups: does the ICT environment matter? De Economist 159:193–221CrossRefGoogle Scholar
  13. Dalton DR, Todor WD, Krackhardt DM (1982) Turnover overstated: the functional taxonomy. Acad Manag Rev 7:117–123Google Scholar
  14. Daniel K, Heywood JS (2007) The determinants of hiring older workers: UK evidence. Labour Econ 14:35–51CrossRefGoogle Scholar
  15. Daveri F (2004) Delayed IT usage: is it really the drag on Europe’s productivity. CESifo Econ Stud 50:397–421CrossRefGoogle Scholar
  16. Daveri F, Maliranta M (2007) Age, seniority and labour costs: lessons from Finnish IT revolution. Econ Policy 22:117–175CrossRefGoogle Scholar
  17. Diewert WE, Fox KA (2009) On measuring the contribution of entering and exiting firms to aggregate productivity growth. In: Diewert WE, Balk BM, Fixler D, Fox KJ, Nakamura A (eds) Price and productivity measurement, vol 6., Index number theoryTrafford Press, Victoria, pp 41–66Google Scholar
  18. Foster L, Haltiwanger J, Krizan CJ (2001) Aggregate productivity growth: lessons from microeconomic evidence. In: Hulten CR, Dean ER, Harper MJ (eds) New developments in productivity analysis. University of Chicago Press, Chicago, pp 303–363CrossRefGoogle Scholar
  19. Foster L, Haltiwanger J, Syverson C (2008) Reallocation, firm turnover, and efficiency: selection on productivity or profitability? Am Econ Rev 98:394–425CrossRefGoogle Scholar
  20. Göbel C, Zwick T (2012) Age and productivity: sector differences. De Economist 160:35–57CrossRefGoogle Scholar
  21. Göbel C, Zwick T (2013) Are personnel measures effective in increasing productivity of old workers? Labour Econ 22:80–93CrossRefGoogle Scholar
  22. Griliches Z, Mairesse J (1998) Production functions: the search for identification. In: Strøm R (ed) Econometrics and economic theory in the twentieth century: the Ragnar Frisch Centennial symposium. Cambridge University Press, Cambridge, pp 169–203CrossRefGoogle Scholar
  23. Hadi AS (1992) Identifying multiple outliers in multivariate data. J R Stat Soc B 54:761–771Google Scholar
  24. Hadi AS (1994) A modification of a method for the detection of outliers in multivariate samples. J R Stat Soc B 56:393–396Google Scholar
  25. Hakola T, Uusitalo R (2005) Not so voluntary retirement decisions? Evidence from a pension reform. J Public Econ 89:2121–2136CrossRefGoogle Scholar
  26. Haltiwanger J (1997) Measuring and analyzing aggregate fluctuations: the importance of building from microeconomic evidence. Fed Reserve Bank St. Louis Econ Rev 79:55–77Google Scholar
  27. Haltiwanger JC, Lane JI, Spletzer JR (1999) Productivity differences across employers: the roles of employer size, age, and human capital. Am Econ Rev 89:94–98CrossRefGoogle Scholar
  28. Haltiwanger JC, Lane JI, Spletzer JR (2007) Wages, productivity, and the dynamic interaction of businesses and workers. Labour Econ 14:575–602CrossRefGoogle Scholar
  29. Hellerstein JK, Neumark D (2007) Production function and wage equation estimation with heterogeneous labor: Evidence from a new matched employer–employee data set. In: Berndt ER, Hulten CM (eds) Hard to measure goods and services: essays in honor of Zvi Griliches. University of Chicago Press, Chicago, pp 31–71CrossRefGoogle Scholar
  30. Hellerstein JK, Neumark D, Troske KR (1999) Wages, productivity, and worker characteristics: evidence from plant-level production functions and wage equations. J Labor Econ 17:409–446CrossRefGoogle Scholar
  31. Hutchens R (1986) Delayed payment contracts and a firm’s propensity to hire older workers. J Labor Econ 4:439–457CrossRefGoogle Scholar
  32. Hutchens R (1988) Do job opportunities decline with age? Ind Labor Relat Rev 42:89–99CrossRefGoogle Scholar
  33. Ilmakunnas P, Ilmakunnas S (2015) Hiring older employees: do the age limits of early retirement and the contribution rates of firms matter? Scand J Econ 117:164–194CrossRefGoogle Scholar
  34. Ilmakunnas P, Maliranta M (2005) Technology, labour characteristics and wage-productivity gaps. Oxf Bull Econ Stat 67:623–644CrossRefGoogle Scholar
  35. Ilmakunnas P, Maliranta M, Vainiomäki J (2004) The roles of employer and employee characteristics for plant productivity. J Prod Anal 21:249–276CrossRefGoogle Scholar
  36. Ilmakunnas P, Maliranta M, Vainiomäki J (2005) Worker turnover and productivity growth. Appl Econ Lett 12:395–398CrossRefGoogle Scholar
  37. Ilmakunnas P, van Ours J, Skirbekk V, Weiss M (2010) Age and productivity. In: Garibaldi P, Martins JO, van Ours J (eds) Ageing, health, and productivity: the economics of increased life expectancy. Oxford University Press, Oxford, pp 133–240Google Scholar
  38. Jovanovic B (1979) Job matching and the theory of turnover. J Polit Econ 87:972–990CrossRefGoogle Scholar
  39. Kaiser U, Kongsted HC, Rønde T (2015) Does the mobility of R&D labor increase innovation? J Econ Behav Organ 110:91–105CrossRefGoogle Scholar
  40. Kronenberg K, Carree M (2010) The effects of workforce composition, labor turnover, and the qualities of entering and exiting workers on productivity growth. Maastrict University, MimeoGoogle Scholar
  41. Kyyrä T, Wilke RA (2007) Reduction in the long-term unemployment of the elderly: a success story from Finland. J Eur Econ Assoc 5:154–182CrossRefGoogle Scholar
  42. Lazear EP (1979) Why is there mandatory retirement? J Polit Econ 87:1261–1284CrossRefGoogle Scholar
  43. Levinsohn J, Petrin A (2003) Estimating production functions using inputs to control for unobservables. Rev Econ Stud 70:317–341CrossRefGoogle Scholar
  44. Mahlberg B, Freund I, Crespo Cuaresma J, Prskawetz A (2013a) Ageing, productivity and wages in Austria. Labour Econ 22:5–15CrossRefGoogle Scholar
  45. Mahlberg B, Freund I, Crespo Cuaresma J, Prskawetz A (2013b) The age-productivity pattern: do location and sector affiliation matter? J Econ Ageing 1–2:72–82CrossRefGoogle Scholar
  46. Maliranta M (1997) Plant-level explanations for the catch-up process in Finnish manufacturing: A decomposition of aggregate labour productivity growth. In: Laaksonen S (ed) The evolution of firms and industries. International perspectives. Stat Finl, Helsinki, pp 352–369Google Scholar
  47. Maliranta M, Ilmakunnas P (2005) Decomposing productivity and wage effects of intra-establishment labor restructuring. ETLA Discussion Papers No. 993, HelsinkiGoogle Scholar
  48. Maliranta M, Mohnen P, Rouvinen P (2009) Is inter-firm labor mobility a channel of knowledge spillovers? Evidence form a linked employer–employee panel. Ind Corp Change 18:1161–1191CrossRefGoogle Scholar
  49. Munnell AH, Sass SA (2008) Working longer. The solution to the retirement income challenge. Brookings Institution Press, WashingtonGoogle Scholar
  50. Nelson RR, Phelps ES (1966) Investment in humans, technological diffusion, and economic growth. Am Econ Rev Pap Proc 56:69–75Google Scholar
  51. Olley GS, Pakes A (1996) The dynamics of productivity in the telecommunications equipment industry. Econometrica 64:1263–1297CrossRefGoogle Scholar
  52. Parrotta P, Pozzoli D (2012) The effect of learning by hiring on productivity. RAND J Econ 43:167–185CrossRefGoogle Scholar
  53. Siebert WS, Zubanov N (2009) Searching for the optimal level of employee turnover: a study of a large U.K. retail organization. Acad Manag J 52:294–313CrossRefGoogle Scholar
  54. Skirbekk V (2008) Age and productivity potential: a new approach based on ability levels and industry-wide task demand. Pop Dev Rev 34(Supplement):191–207Google Scholar
  55. Stoyanov A, Zubanov N (2012) Productivity spillovers across firms through worker mobility. Am Econ J Appl Econ 4:168–198CrossRefGoogle Scholar
  56. Towers Perrin (2005) The business case for workers age 50+. AARP, WashingtonGoogle Scholar
  57. Vainiomäki J (1999) Technology and skill upgrading: results from linked worker-plant data for Finnish manufacturing. In: Haltiwanger J, Lane J, Spletzer JR, Theuwes JM, Troske KR (eds) The creation and analysis of employer–employee matched data. Elsevier, Amsterdam, pp 115–145CrossRefGoogle Scholar
  58. van Ark B, Inklaar R, McGuckin R (2003) ICT and productivity in Europe and the United States. Where do the differences come from? CESifo Econ Stud 49:295–318CrossRefGoogle Scholar
  59. van Dalen HP, Henkens K, Schippers J (2010) Productivity of older workers: perceptions of employers and employees. Popul Dev Rev 36:309–330CrossRefGoogle Scholar
  60. van Ours JC, Stoeldraijer L (2011) Age, wage and productivity in Dutch manufacturing. De Economist 159:113–137CrossRefGoogle Scholar
  61. Vandenberghe V (2010) Shed the oldies … it’s profitable. Universite Catholique de Louvain, MimeoGoogle Scholar
  62. Vandenberghe V (2013) Are firms willing to employ a greying and feminizing workforce? Labour Econ 22:30–46CrossRefGoogle Scholar
  63. Vandenberghe V, Waltenberg F, Rigo M (2013) Ageing and employability. Evidence from Belgian firm-level data. J Prod Anal 40:111–136CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Aalto University School of BusinessAalto, HelsinkiFinland
  2. 2.The Research Institute of the Finnish Economy (ETLA)HelsinkiFinland
  3. 3.University of JyväskyläJyväskyläFinland

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