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Efficiency Frontier and Matching Process on the Labour Market: Evidence from Tunisia

  • Anis Bou Abid
  • Imed Drine

This paper studies the determinants of the inefficient functioning of the Tunisian labour market. The study takes advantage of recent developments in the stochastic frontier techniques and estimates the matching function for Tunisia using disaggregated data. We include control variables as determinants of matching efficiency and regional disparities. We confirm that the persistently high rate of unemployment is the result of not only excess labour supply but is also related to a shortfall between supply and demand, i.e. sector, location, qualification.

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Paper provided by World Institute for Development Economic Research (UNU-WIDER) in its series Working Paper Series with number wp2010-123.

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Length: 19 pages
Date of creation: 2010
Date of revision:
Handle: RePEc:unu:wpaper:wp2010-123
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  1. Barbara Petrongolo & Christopher Pissarides, 2000. "Looking into the black box: a survey of the matching function," LSE Research Online Documents on Economics 2122, London School of Economics and Political Science, LSE Library.
  2. Aki Kangasharju & Sanna-Mari Hynninen & Jaakko Pehkonen, 2006. "Regional Matching Frictions and Aggregate Unemployment," Discussion Papers 383, Government Institute for Economic Research Finland (VATT).
  3. Budd, Alan & Levine, Paul & Smith, Peter, 1988. "Unemployment, Vacancies and the Long-term Unemployed," Economic Journal, Royal Economic Society, vol. 98(393), pages 1071-91, December.
  4. Aomar Ibourk & Bénédicte Maillard & Sergio Perelman & Henri Sneessens, 2004. "Aggregate Matching Efficiency: A Stochastic Production Frontier Approach, France 1990–1994," Empirica, Springer, vol. 31(1), pages 1-25, March.
  5. Burda, Michael C & Profit, Stefan, 1996. "Matching Across Space: Evidence on Mobility in the Czech Republic," CEPR Discussion Papers 1364, C.E.P.R. Discussion Papers.
  6. Kumbhakar, Subal C., 1991. "Estimation of technical inefficiency in panel data models with firm- and time-specific effects," Economics Letters, Elsevier, vol. 36(1), pages 43-48, May.
  7. Coles, Melvyn G & Smith, Eric, 1996. "Cross-Section Estimation of the Matching Function: Evidence from England and Wales," Economica, London School of Economics and Political Science, vol. 63(252), pages 589-97, November.
  8. Tito Boeri & Michael Burda, 1997. "Active Labour Market Policies, Job Matching and the Czech Miracle," Politická ekonomie, University of Economics, Prague, vol. 1997(2), pages 183-192.
  9. Turon, Helene & Simon Burgess, 2003. "Unemployment equilibrium and on-the-job search," Royal Economic Society Annual Conference 2003 208, Royal Economic Society.
  10. 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.
  11. Rene Fahr & Uwe Sunde, 2006. "Regional dependencies in job creation: an efficiency analysis for Western Germany," Applied Economics, Taylor & Francis Journals, vol. 38(10), pages 1193-1206.
  12. Simon Burgess & Stefan Profit, 2001. "Externalities in the Matching of Workers and Firms in Britain," CEP Discussion Papers dp0490, Centre for Economic Performance, LSE.
  13. William Greene, 2002. "Fixed and Random Effects in Stochastic Frontier Models," Working Papers 02-16, New York University, Leonard N. Stern School of Business, Department of Economics.
  14. 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.
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  17. Mumford, Karen & Smith, Peter N, 1999. " The Hiring Function Reconsidered: On Closing the Circle," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(3), pages 343-64, August.
  18. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
  19. repec:oup:qjecon:v:107:y:1992:i:4:p:1371-91 is not listed on IDEAS
  20. Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.
  21. Kano, Shigeki & Ohta, Makoto, 2005. "Estimating a matching function and regional matching efficiencies: Japanese panel data for 1973-1999," Japan and the World Economy, Elsevier, vol. 17(1), pages 25-41, January.
  22. Broersma, Lourens & Van Ours, Jan C., 1999. "Job searchers, job matches and the elasticity of matching," Labour Economics, Elsevier, vol. 6(1), pages 77-93, March.
  23. Jackman, R & Roper, S, 1987. "Structural Unemployment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 49(1), pages 9-36, February.
  24. Fahr, René & Sunde, Uwe, 2002. "Estimations of Occupational and Regional Matching Efficiencies Using Stochastic Production Frontier Models," IZA Discussion Papers 552, Institute for the Study of Labor (IZA).
  25. Layard, Richard & Bean, Charles, 1989. " Why Does Unemployment Persist?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 91(2), pages 371-96.
  26. van Ours, Jan C., 1995. "An empirical note on employed and unemployed job search," Economics Letters, Elsevier, vol. 49(4), pages 447-452, October.
  27. van Ours, J. C. & Ridder, G., 1995. "Job matching and job competition: Are lower educated workers at the back of job queues?," European Economic Review, Elsevier, vol. 39(9), pages 1717-1731, December.
  28. Ho-chuan Huang, 2004. "Estimation of Technical Inefficiencies with Heterogeneous Technologies," Journal of Productivity Analysis, Springer, vol. 21(3), pages 277-296, May.
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