IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp339.html
   My bibliography  Save this paper

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

Author

Listed:
  • Ibourk, Aomar

    (affiliation not available)

  • Maillard, Bénédicte

    (affiliation not available)

  • Perelman, Sergio

    () (CREPP, Université de Liège)

  • Sneessens, Henri R.

    () (University of Luxembourg)

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. We apply this methodology to examine regional disparities in France over the period 1990-1995. About 30% of the efficiency changes observed over time and some 25% of the cross regional differences can be explained in terms of changes in firms and workers characteristics. Regional differences in matching efficiency are fairly stable over time and negatively correlated to the regional unemployment rates.

Suggested Citation

  • Ibourk, Aomar & Maillard, Bénédicte & Perelman, Sergio & Sneessens, Henri R., 2001. "The Matching Efficiency of Regional Labour Markets: A Stochastic Production Frontier Estimation, France 1990-1995," IZA Discussion Papers 339, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp339
    as

    Download full text from publisher

    File URL: http://ftp.iza.org/dp339.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Olivier Jean Blanchard & Peter A. Diamond, 1989. "The Aggregate Matching Function," NBER Working Papers 3175, National Bureau of Economic Research, Inc.
    7. van Ours, J.C. & Gorter, C., 1994. "Matching unemployment and vacancies in regional labour markets; An empirical analysis for the Netherlands," Other publications TiSEM 63318c4d-4008-4f29-94eb-a, Tilburg University, School of Economics and Management.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    More about this item

    Keywords

    stochastic frontier; regional unemployment; Matching efficiency;

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp339. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mark Fallak). General contact details of provider: http://www.iza.org .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.