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Regional Matching Frictions and Aggregate Unemployment

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  • Sanna-Mari Hynninen

    ()

  • Aki Kangasharju

    ()

  • Jaakko Pehkonen

    ()

Abstract

The study shows 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 finds notable and time-wise stable differences in the matching efficiency across travel-to-work areas in Finland. If all areas were as efficient as the most efficient one, the number of hires would increase about 40 per cent. This would decrease the aggregate unemployment rate from the current 8.5 percent 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 European Regional Science Association in its series ERSA conference papers with number ersa06p416.

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Date of creation: Aug 2006
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Handle: RePEc:wiw:wiwrsa:ersa06p416

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  1. Layard, Richard & Bean, Charles, 1989. " Why Does Unemployment Persist?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 91(2), pages 371-96.
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  8. Blanchard, J.O., 1989. "The Aggregate Matching Function," Working papers 538, Massachusetts Institute of Technology (MIT), Department of Economics.
  9. 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.
  10. 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.
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  13. 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).
  14. 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.
  15. 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.
  16. 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.
  17. 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.
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Cited by:
  1. Abid, Anis Bou & Drine, Imed, 2011. "Efficiency frontier and matching process on the labour market: Evidence from Tunisia," Economic Modelling, Elsevier, vol. 28(3), pages 1131-1139, May.

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