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The Matching Efficiency of Regional Labour Markets. A Stochastic Production Frontier Estimation, France 1990-1995

Author

Listed:
  • Ibourk, A.
  • Maillard, B.
  • Perelman, S.
  • Sneessens, H.R.

Abstract

We evaluate the determinants of matching efficiency changes through a stochastic Cobb-Douglas production frontier model extended to allow the efficiency coefficient to depend on variables meant to capture workers and firms characteristics.

Suggested Citation

  • Ibourk, A. & Maillard, B. & Perelman, S. & Sneessens, H.R., 2001. "The Matching Efficiency of Regional Labour Markets. A Stochastic Production Frontier Estimation, France 1990-1995," Liege - Groupe d'Etude des Mathematiques du Management et de l'Economie 2001/04, UNIVERSITE DE LIEGE, Faculte d'economie, de gestion et de sciences sociales, Groupe d'Etude des Mathematiques du Management et de l'Economie.
    • Handle: RePEc:fth:gemame:2001/04
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    References listed on IDEAS

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    1. Aomar Ibourk & Sergio Perelman, 2001. "Frontières d'efficacité et processus d'appariement sur le marché du travail au Maroc," Economie & Prévision, La Documentation Française, vol. 0(4), pages 33-45.
    2. Christopher A. Pissarides & Barbara Petrongolo, 2001. "Looking into the Black Box: A Survey of the Matching Function," Journal of Economic Literature, American Economic Association, vol. 39(2), pages 390-431, June.
    3. Cees Gorter & Jan van Ours, 1994. "Matching Unemployment And Vacancies In Regional Labor Markets: An Empirical Analysis For The Netherlands," Papers in Regional Science, Wiley Blackwell, vol. 73(2), pages 153-167, April.
    4. 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 589-597, November.
    5. Coelli, T. J., 1992. "A computer program for frontier production function estimation : Frontier version 2.0," Economics Letters, Elsevier, vol. 39(1), pages 29-32, May.
    6. W. Frame & Tim Coelli, 2001. "U.S. Financial Services Consolidation: The Case of Corporate Credit Unions," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 18(2), pages 229-241, March.
    7. Olivier Jean Blanchard & Peter A. Diamond, 1989. "The Aggregate Matching Function," NBER Working Papers 3175, National Bureau of Economic Research, Inc.
    8. 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.
    9. Ben Lockwood, 1991. "Information Externalities in the Labour Market and the Duration of Unemployment," Review of Economic Studies, Oxford University Press, vol. 58(4), pages 733-753.
    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 325-332.
    11. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    Citations

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    Cited by:

    1. Sergio Destefanis & Raquel Fonseca, 2006. "Labour-Market Reforms and the Beveridge Curve. Some Macro Evidence for Italy," CSEF Working Papers 168, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    2. Joanna Tyrowicz & Tomasz Jeruzalski, 2013. "(In)Efficiency of matching: the case of a post-transition economy," Economic Change and Restructuring, Springer, vol. 46(2), pages 255-275, May.

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    More about this item

    Keywords

    REGIONAL ECONOMY ; EMPLOYMENT ; ECONOMIC MODELS;
    All these keywords.

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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