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Does the Hartz IV Reform have an Effect on Matching Efficiency in Germany? A Stochastic Frontier Approach

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  • Hillmann, Katja

Abstract

In the course of a comprehensive labor market reform started in 2002 and finished through the implementation of the most radical measure Hartz IV in 2005, I exploit its impact on matching processes in Germany. I use disaggregated data for 178 local employment agencies to examine the effects of stocks and flows of vacancies and unemployed on the hiring rate as well as on the matching efficiency. Building on the work of Ibourk et al. (2004) and Fahr and Sunde (2006), I employ a stochastic frontier analysis. As a functional framework I choose the translog function to address the interactions of stocks and flows in generating new hires. Furthermore, the twofold structure of a stochastic frontier allows for a modeling of potential sources (e.g. Hartz IV) expected to induce an increased or decreased matching efficiency. My results suggest that Hartz IV exhibits a significantly positive impact on the hiring rate and the matching efficiency. Compared to 1998, on average matching efficiency experienced an increase in 2007.

Suggested Citation

  • Hillmann, Katja, 2009. "Does the Hartz IV Reform have an Effect on Matching Efficiency in Germany? A Stochastic Frontier Approach," MPRA Paper 22295, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:22295
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    References listed on IDEAS

    as
    1. Jacobi, Lena & Kluve, Jochen, 2006. "Before and After the Hartz Reforms: The Performance of Active Labour Market Policy in Germany," RWI Discussion Papers 41, RWI - Leibniz-Institut für Wirtschaftsforschung.
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    3. Melvyn Coles & Barbara Petrongolo, 2008. "A Test Between Stock-Flow Matching And The Random Matching Function Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(4), pages 1113-1141, November.
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    5. 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.
    6. Coles, Melvyn G & Smith, Eric, 1998. "Marketplaces and Matching," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(1), pages 239-254, February.
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    8. Fahr René & Sunde Uwe, 2009. "Did the Hartz Reforms Speed-Up the Matching Process? A Macro- Evaluation Using Empirical Matching Functions," German Economic Review, De Gruyter, vol. 10(3), pages 284-316, August.
    9. Sanna-Mari Hynninen, 2009. "Matching in local labor markets: a stochastic frontier approach," Journal of Productivity Analysis, Springer, vol. 31(1), pages 15-26, February.
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    12. Jacobi, Lena & Kluve, Jochen, 2006. "Before and After the Hartz Reforms: The Performance of Active Labour Market Policy in Germany," IZA Discussion Papers 2100, Institute of Labor Economics (IZA).
    13. Warren, Ronald Jr., 1996. "Returns to scale in a matching model of the labor market," Economics Letters, Elsevier, vol. 50(1), pages 135-142, January.
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    Cited by:

    1. Michael Stops, 2016. "Revisiting German labour market reform effects—a panel data analysis for occupational labour markets," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-43, December.
    2. Hörnig, Lukas, 2023. "Regional employment effects of the Hartz-reforms," Ruhr Economic Papers 1033, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. Baas, Timo & Belke, Ansgar, 2017. "Oil price shocks, monetary policy and current account imbalances within a currency union," CEPS Papers 13334, Centre for European Policy Studies.

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    More about this item

    Keywords

    Labor Market Reform; Matching Models; Stochastic Frontier Analysis; Germany;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • 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
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy

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