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Regional Matching Frictions and Aggregate Unemployment

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  • Aki Kangasharju
  • Sanna-Mari Hynninen
  • Jaakko Pehkonen

Abstract

This study demonstrates that a stochastic frontier approach applied to regional level data offers a convenient and interesting method to examine how regional differences in matching efficiency and structural factors contribute to aggregate unemployment. The study reveals notable and temporally stable differences in matching efficiency across travel-to-work areas in Finland. If all areas were as efficient as the most efficient one, the number of hirings would increase by about 40 per cent. This would reduce the aggregate unemployment rate from the current 8.5 per cent level to 6.0 per cent. If all the areas shared the same structural characteristics as the most favourable area, the aggregate unemployment rate would drop to 7.1 per cent.

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Bibliographic Info

Paper provided by Government Institute for Economic Research Finland (VATT) in its series Discussion Papers with number 383.

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Date of creation: 03 Mar 2006
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Handle: RePEc:fer:dpaper:383

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Keywords: Efficiency; matching; aggregate unemployment; regional labour markets;

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References

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  1. Oliver Jean Blanchard & Peter Diamond, 1989. "The Beveridge Curve," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 20(1), pages 1-76.
  2. Karsten Albæk & Henrik Hansen, 1999. "The Rise in Danish Unemployment: Reallocation or Mismatch?," Discussion Papers 99-15, University of Copenhagen. Department of Economics.
  3. Holden, Steinar & Nymoen, Ragnar, 2002. " Measuring Structural Unemployment: NAWRU Estimates in the Nordic Countries," Scandinavian Journal of Economics, Wiley Blackwell, vol. 104(1), pages 87-104.
  4. Petrongolo, Barbara & Pissarides, Christopher, 2000. "Looking Into The Black Box: A Survey Of The Matching Function," CEPR Discussion Papers 2409, C.E.P.R. Discussion Papers.
  5. Layard, R. & Bean, C., 1988. "Why Does Unemployment Persist?," Papers 321, London School of Economics - Centre for Labour Economics.
  6. Pekka Ilmakunnas & Hanna Pesola, 2003. "Regional Labour Market Matching Functions and Efficiency Analysis," LABOUR, CEIS, vol. 17(3), pages 413-437, 09.
  7. Fahr, René & Sunde, Uwe, 2005. "Regional Dependencies in Job Creation: An Efficiency Analysis for Western Germany," IZA Discussion Papers 1660, Institute for the Study of Labor (IZA).
  8. Ours, J. C. van & Burdett, K. & Coles, M., 1994. "Temporal Aggregation Bias in Stock-Flow Models," Open Access publications from Tilburg University urn:nbn:nl:ui:12-153334, Tilburg University.
  9. Olivier Jean Blanchard & Peter A. Diamond, 1989. "The Aggregate Matching Function," NBER Working Papers 3175, National Bureau of Economic Research, Inc.
  10. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-32.
  11. Patricia M. Anderson & Simon M. Burgess, 2000. "Empirical Matching Functions: Estimation and Interpretation Using State-Level Data," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 93-102, February.
  12. Burgess, Simon M, 1993. "A Model of Competition between Unemployed and Employed Job Searchers: An Application to the Unemployment Outflow Rate in Britain," Economic Journal, Royal Economic Society, vol. 103(420), pages 1190-204, September.
  13. Robert Shimer, 2005. "The Cyclical Behavior of Equilibrium Unemployment and Vacancies," American Economic Review, American Economic Association, vol. 95(1), pages 25-49, March.
  14. Pissarides, Christopher A, 1992. "Loss of Skill during Unemployment and the Persistence of Employment Shocks," The Quarterly Journal of Economics, MIT Press, vol. 107(4), pages 1371-91, November.
  15. Burgess, Simon & Turon, Hélène, 2003. "Unemployment Equilibrium and On-the-Job Search," IZA Discussion Papers 753, Institute for the Study of Labor (IZA).
  16. Aki Kangasharju & Jaakko Pehkonen & Sari Pekkala, 2005. "Returns to scale in a matching model: evidence from disaggregated panel data," Applied Economics, Taylor & Francis Journals, vol. 37(1), pages 115-118.
  17. Aomar IBOURK & Béatrice MAILLARD & Serge PERELMAN & Henri R. SNEESSENS, 2001. "Aggregate Matching Efficiency : A Stochastic Production Frontier Approach, France 1990-1994," Discussion Papers (IRES - Institut de Recherches Economiques et Sociales) 2001034, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
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Cited by:
  1. Anis Bou Abid & Imed Drine, 2010. "Efficiency Frontier and Matching Process on the Labour Market: Evidence from Tunisia," Working Paper Series wp2010-123, World Institute for Development Economic Research (UNU-WIDER).

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