The Annals of Regional Science

, Volume 51, Issue 1, pp 245–272 | Cite as

Does spatial employment density spur inter-firm job switching?

  • Martin AnderssonEmail author
  • Per Thulin
Special Issue Paper


Inter-firm job switching of workers is a much cited but seldom measured source of the productivity advantages of spatial employment density. It has been advanced as a conduit for localized knowledge flows as well as labor market matching efficiency. Using a matched employer–employee dataset for Sweden, we estimate the influence spatial employment density has on the probability of inter-firm job switching of private sector workers. Our estimates suggest that a doubling of employment density per square kilometer increases the probability that a random worker switches employer by 0.2 % points. The same effect is substantially higher for more skilled workers. While the effect of a doubling of density is limited, the actual differences in density across the regions in our data amount to a factor over 40, rendering differences in density an important explanation for regional variations in rates of inter-firm job switching.

JEL Classification

J61 J62 R12 R11 



Martin Andersson acknowledges financial support from the Swedish research council FORMAS and from the EU sixth framework program (MICRODYN project). We are grateful for useful comments from seminar participants at the Jönköping International Business School, the Royal Institute of Technology and the DIME workshop on Regional Innovation and Growth at the University of Pécs in Hungary, April 2011.


  1. Agrawal A, Cockburn I, Mchale J (2006) Gone but not forgotten—knowledge flows, labor mobility and enduring social relationships. J Econ Geogr 6(5):571–591CrossRefGoogle Scholar
  2. Almeida P, Kogut B (1999) Localization of knowledge and the mobility of engineers in regional networks. Manag Sci 45(7):905–917CrossRefGoogle Scholar
  3. Andersson M, Thulin P (2008) Globalisering, Arbetskraftens Rörlighet och Produktivitet, Underlagsrapport nr 23, Globaliseringsrådet (Swedish Globalization Council)Google Scholar
  4. Andersson M, Lööf H (2011) Agglomeration and productivity—evidence from firm-level data. Ann Reg Sci 46(3):601–620CrossRefGoogle Scholar
  5. Baltzopoulos A, Braunerhjelm P, Tikoudis I (2012) Spin-off: individual, firm. Industry and regional determinants. CESIS Working paper 265Google Scholar
  6. Bleakly H, Lin J (2007) Thick-market effects and churning in the labor market: evidence from U.S. cities. Working Paper no. 07–23, Research Department, Federal Reserve Bank of PhiladelphiaGoogle Scholar
  7. Brülhart M, Mathys N (2008) Sectoral agglomeration economies in a panel of European regions. Reg Sci Urban Econ 38(4):348–362CrossRefGoogle Scholar
  8. Ciccone A (2002) Agglomeration effects in Europe. Eur Econ Rev 46(2):213–227CrossRefGoogle Scholar
  9. Ciccone A, Hall RE (1996) Productivity and the density of economic activity. Am Econ Rev 86(1):54–70Google Scholar
  10. Duranton G, Puga D (2004) Micro-foundations of urban agglomeration economies. In: Henderson JV, Thissest JF (ed) Handbook of regional and urban economics, 1st edn, vol 4, chap 48, Elsevier, pp 2063–2117Google Scholar
  11. Faggian A, McCann P, Sheppard S (2007) Some evidence that women are more mobile than men: gender differences in UK graduate migration behavior. J Reg Sci 47(3):517–539CrossRefGoogle Scholar
  12. Farber HS (1994) The analysis of inter-firm worker mobility. J Labor Econ 12(4):554–593CrossRefGoogle Scholar
  13. Feldman M (1999) The new economics of innovation spillovers and agglomeration—a review of empirical studies. Econ Innov New Technol 8:5–25CrossRefGoogle Scholar
  14. Finney MM, Kohlhase J (2008) The effect of urbanization on labor turnover. J Reg Sci 48(2):311–328CrossRefGoogle Scholar
  15. Gartell M, Jans A-C, Persson H (2007) The importance of education for the reallocation of labor: evidence from Swedish linked employer-employee data 1986–2002. Working Paper 2007:14, Institutet för arbetsmarknadspolitisk utvärdering (IFAU), UppsalaGoogle Scholar
  16. Glaeser E, Maré D (2001) Cities and skills. J Labor Econ 19(2):316–342CrossRefGoogle Scholar
  17. Glaeser E (1999) Learning in cities. J Urban Econ 46(2):254–277CrossRefGoogle Scholar
  18. Granovetter MS (1995) Getting a job: a study of contacts and careers, 2nd edn. University of Chicago Press, ChicagoGoogle Scholar
  19. Hesley R, Strange W (1990) Matching and agglomeration economies in a system of cities. Reg Sci Urban Econ 20(2):189–212CrossRefGoogle Scholar
  20. Israelsson T, Strannefors T, Tydén H (2003) Geografisk Rörlighet och Arbetsgivarbyten. Ura 2003:1. ArbetsmarknadsstyrelsenGoogle Scholar
  21. Jaffe AB, Trajtenberg M, Henderson R (1993) Geographic localization of knowledge spillovers as evidenced by patent citations. Q J Econ 108(3):577–598CrossRefGoogle Scholar
  22. Johansson B, Klaesson J, Olsson M (2002) Time distances and labor market integration. Pap Reg Sci 81:305–327CrossRefGoogle Scholar
  23. Johansson B, Klaesson J, Olsson M (2003) Commuters’ non-linear response to time distances. J Geogr Syst 5:315–329CrossRefGoogle Scholar
  24. Jovanovic B, Rob R (1989) The growth and diffusion of knowledge. Rev Econ Stud 56(4):569–582CrossRefGoogle Scholar
  25. Kim S (1990) Labor heterogeneity, wage bargaining and agglomeration economies. J Urban Econ 28(2):160–177CrossRefGoogle Scholar
  26. Lucas RE Jr (1988) On the mechanics of economic development. J Monet Econ 22(1):3–42CrossRefGoogle Scholar
  27. Machin S, Pelkonen P, Salvanes K (2008) Education and mobility. IZA Discussion paper series, No 3845Google Scholar
  28. Moen J (2005) Is mobility of technical personnel a source of R&D spillovers? J Labor Econ 23(1):81–114CrossRefGoogle Scholar
  29. Oettl A, Agrawal A (2008) International labor mobility and knowledge flow externalities. J Int Bus Stud 39(8):1242–1260CrossRefGoogle Scholar
  30. Ottaviano GIP, Pinelli D (2006) Market potential and productivity: evidence from Finnish regions. Reg Sci Urban Econ 36(5):636–657CrossRefGoogle Scholar
  31. Rice P, Venables AJ, Patacchini E (2006) Spatial determinants of productivity: analysis for the regions of Great Britain. Reg Sci Urban Econ 36(6):727–752CrossRefGoogle Scholar
  32. Rosenthal SS, Strange WC (2004) Evidence on the nature and sources of agglomeration economies. In: Henderson JV, Thissest JF (ed) Handbook of regional and urban economics, 1st edn, vol 4, chap 49, Elsevier, pp 2119–2171Google Scholar
  33. Topel RH, Ward MP (1992) Job mobility and the careers of young men. Q J Econ 107(2):439–479CrossRefGoogle Scholar
  34. Weibull J (1976) An axiomatic approach to the measurement of accessibility. Reg Sci Urban Econ 6(4): 357–379CrossRefGoogle Scholar
  35. Weibull J (1980) On the numerical measurement of accessibility. Environ Plan A 12(1):53–67CrossRefGoogle Scholar
  36. Wheeler CH (2006) Cities and the growth of wages among young workers: evidence from the NLSY. J Urban Econ 60(2):162–184CrossRefGoogle Scholar
  37. Yankow JJ (2006) Why do cities pay more? An empirical examination of some competing theories of the urban wage premium. J Urban Econ 60(2):139–161CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Centre for Innovation, Research and Competence in the Learning Economy (CIRCLE)Lund University and the School of Management, Blekinge Institute of Technology (BTH)KarlskronaSweden
  2. 2.KTH Royal Institute of Technology and the Swedish Entrepreneurship ForumStockholmSweden

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