IDEAS home Printed from https://ideas.repec.org/a/vrs/reoecp/v15y2015i2p197-220n5.html
   My bibliography  Save this article

Measuring Inefficiency of the Czech Labour Market

Author

Listed:
  • Němec Daniel

    (Masaryk University, Faculty of Economics and Administration, Department of Economics, Lipová 41a Brno 62100)

Abstract

This paper aims to quantify the performance of the Czech regional labour markets and to reveal the most influential economic factors standing behind its dynamics in the last fifteen years. Investigated labour markets are described using matching function approach. The successful matches are treated as an output of production process, where the unemployed are paired with vacancies. Efficiency of this matching process plays an important role in determining unemployment outflows. Using stochastic frontier model approach, dynamics of quantified efficiency terms is revealed and differences among regions are evaluated. The model specification includes a fixed effect term, where individual effect terms and inefficiency terms are estimated jointly. The stochastic frontier is estimated using monthly and quarterly regional panel data of 77 districts for the period 1999-2014. Matching efficiency of the Czech regional labour markets is negatively influenced people who have been unemployed for a long time and by the unemployed aged over 50 years. Although all districts were able to operate at their stochastic frontiers of matching, an upward trend in the inefficiency has been found within the investigated period. These tendencies are accompanied by rising disparities among the regions. Low levels of estimated matching inefficiency do not necessary mean the low unemployment in the corresponding districts.

Suggested Citation

  • Němec Daniel, 2015. "Measuring Inefficiency of the Czech Labour Market," Review of Economic Perspectives, Sciendo, vol. 15(2), pages 197-220, June.
  • Handle: RePEc:vrs:reoecp:v:15:y:2015:i:2:p:197-220:n:5
    DOI: 10.1515/revecp-2015-0017
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/revecp-2015-0017
    Download Restriction: no

    File URL: https://libkey.io/10.1515/revecp-2015-0017?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Powdthavee, Nattavudh & Riyanto, Yohanes E. & Knetsch, Jack L., 2018. "Lower-rated publications do lower academics’ judgments of publication lists: Evidence from a survey experiment of economists," Journal of Economic Psychology, Elsevier, vol. 66(C), pages 33-44.

    More about this item

    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:vrs:reoecp:v:15:y:2015:i:2:p:197-220:n:5. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.