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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.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 22295.

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Date of creation: Dec 2009
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Handle: RePEc:pra:mprapa:22295

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Keywords: Labor Market Reform; Matching Models; Stochastic Frontier Analysis; Germany;

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  1. 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.
  2. Coles, Melvyn G & Smith, Eric, 1994. "Cross-Section Estimation of the Matching Function: Evidence from England and Wales," CEPR Discussion Papers 966, C.E.P.R. Discussion Papers.
  3. 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 239-54, February.
  4. 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.
  5. Yashiv, E., 1999. "The Determinants of Equilibrium Unemployment," Papers 36-99, Tel Aviv.
  6. Jochen Kluve & Lena Jacobi, 2006. "Before and After the Hartz Reforms: The Performance of Active Labour Market Policy in Germany," RWI Discussion Papers 0041, Rheinisch-Westfälisches Institut für Wirtschaftsforschung.
  7. 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.
  8. 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.
  9. 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 325-32.
  10. 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.
  11. Fahr, René & Sunde, Uwe, 2006. "Regional dependencies in job creation: An efficiency analysis for Western Germany," Munich Reprints in Economics 20484, University of Munich, Department of Economics.
  12. René Fahr & Uwe Sunde, 2009. "Did the Hartz Reforms Speed-Up the Matching Process? A Macro-Evaluation Using Empirical Matching Functions," German Economic Review, Verein für Socialpolitik, vol. 10, pages 284-316, 08.
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