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Employment Protection, Technology Choice, and Worker Allocation

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  • Eric J. Bartelsman
  • Pieter A. Gautier
  • Joris de Wind

Abstract

We show empirically that high-risk innovative sectors are relatively small in countries with strict employment protection legislation (EPL). To understand the mechanism, we develop a two-sector matching model where firms endogenously choose between safe and risky technology. Simulations with our calibrated model are consistent with the data: Strict EPL discourages choosing the emerging risky technology because it is more costly to shed workers upon receiving a bad productivity draw. This mechanism helps explain the lowdown in productivity in the EU relative to the US since the mid-1990s that often is associated with lagging adoption of information technology in the EU.

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Bibliographic Info

Paper provided by Netherlands Central Bank, Research Department in its series DNB Working Papers with number 295.

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Date of creation: May 2011
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Handle: RePEc:dnb:dnbwpp:295

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Keywords: employment protection legislation; exit costs; information and communication technologies; heterogeneous productivity; risky technology; innovation; sectoral allocation;

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References

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  1. Rasmus Lentz & Dale T. Mortensen, 2005. "An Empirical Model of Growth Through Product Innovation," CAM Working Papers 2005-13, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
  2. Fernando Alvarez & Marcelo Veracierto, 2000. "Labor-Market Policies in an Equilibrium Search Model," NBER Chapters, in: NBER Macroeconomics Annual 1999, Volume 14, pages 265-316 National Bureau of Economic Research, Inc.
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  8. Hagedorn, Marcus & Manovskii, Iourii, 2008. "The cyclical behavior of equilibrium unemployment and vacancies revisited," Working Paper Series 0853, European Central Bank.
  9. Nick Bloom & Raffaella Sadun & John Van Reenen, 2007. "Americans do I.T. better: US multinationals and the productivity miracle," LSE Research Online Documents on Economics 4555, London School of Economics and Political Science, LSE Library.
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  12. Giuseppe Nicoletti & Stefano Scarpetta & Olivier Boylaud, 2000. "Summary Indicators of Product Market Regulation with an Extension to Employment Protection Legislation," OECD Economics Department Working Papers 226, OECD Publishing.
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Citations

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Cited by:
  1. Olivér KOVÁCS, 2013. "Black swans or creeping normalcy? – An attempt to a holistic crisis analysis," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 4, pages 127-143, June.
  2. Chad Syverson, 2010. "What Determines Productivity?," NBER Working Papers 15712, National Bureau of Economic Research, Inc.
  3. Eric J. Bartelsman, 2010. "Searching for the sources of productivity from macro to micro and back," Industrial and Corporate Change, Oxford University Press, vol. 19(6), pages 1891-1917, December.
  4. Bassanini, Andrea & Garnero, Andrea, 2013. "Dismissal protection and worker flows in OECD countries: Evidence from cross-country/cross-industry data," Labour Economics, Elsevier, vol. 21(C), pages 25-41.
  5. Bartelsman, Eric & Haltiwanger, John C. & Scarpetta, Stefano, 2009. "Cross-Country Differences in Productivity: The Role of Allocation and Selection," IZA Discussion Papers 4578, Institute for the Study of Labor (IZA).
  6. Carlos Miguel Silva & Ana Paula Ribeiro, 2011. "The Impacts of Structural Changes in the Labor Market: a Comparative Statics Analysis Using Heterogeneous-agent Framework," CEF.UP Working Papers 1104, Universidade do Porto, Faculdade de Economia do Porto.
  7. Hyytinen, Ari & Maliranta, Mika, 2011. "Firm Lifecycles and External Restructuring," Discussion Papers 1253, The Research Institute of the Finnish Economy.

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