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(In)Efficiency of Matching - the Case of a Post-transition Economy

Author

Listed:
  • Tomasz Jeruzalski

    (Faculty of Economic Sciences, University of Warsaw)

  • Joanna Tyrowicz

    (Faculty of Economic Sciences, University of Warsaw)

Abstract

This paper approaches the question of efficiency in job placement using regional data for Polish regions (policy-relevant NUTS 4 level) over the time span of 2000-2008. Using a unique data set we estimate the matching function using stochastic frontier as well as difference-in-difference estimators. We have also combined this unique data set with another unique source of data on the ALMPs coverage, unemployment structure across time and regions as well as the individual capacity of local labour offices. We use these data to explain the exceptional variation in estimated efficiency scores. Our findings suggest that matching abilities are highly driven by demand fluctuations, while unemployment structure, ALMPs and individual labour office capacities have little explanatory power. Although without individual data it is fairly impossible to provide a reliable counterfactual, we raise some arguments to support the claim of job placement inefficiency by public employment services in Poland.

Suggested Citation

  • Tomasz Jeruzalski & Joanna Tyrowicz, 2009. "(In)Efficiency of Matching - the Case of a Post-transition Economy," Working Papers 2009-10, Faculty of Economic Sciences, University of Warsaw.
  • Handle: RePEc:war:wpaper:2009-10
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    File URL: http://www.wne.uw.edu.pl/inf/wyd/WP/WNE_WP20.pdf
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    References listed on IDEAS

    as
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    Cited by:

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    2. Iva Tomic, 2012. "The Efficiency of the Matching Process: Exploring the Impact of Regional Employment Offices in Croatia," Working Papers 1204, The Institute of Economics, Zagreb.
    3. Elżbieta Antczak & Ewa Gałecka‐Burdziak & Robert Pater, 2019. "What Affects Efficiency In Labour Market Matching At Different Territorial Aggregation Levels In Poland?," Bulletin of Economic Research, Wiley Blackwell, vol. 71(2), pages 160-179, April.

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    More about this item

    Keywords

    matching function; stochastic frontier; Poland;
    All these keywords.

    JEL classification:

    • P3 - Political Economy and Comparative Economic Systems - - Socialist Institutions and Their Transitions
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J69 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Other
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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