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Regionenmatching im Rahmen der Evaluation der Experimentierungsklausel des § 6c SGB II: Methodische Vorgehensweise und Ergebnisse

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  • Arntz, Melanie
  • Wilke, Ralf A.
  • Winterhager, Henrik

Abstract

Wir führen ein Regionenmatching durch, welches für alle Kreise in Deutschland die nächsten Nachbarn bestimmt, die ähnliche regionale Rahmenbedingungen für die Länge individueller Arbeitslosigkeitsphasen der SGB II Zielgruppe aufweisen. Die Analysen basieren auf umfangreichen Individualdatenbest änden des Institutes für Arbeitsmarkt- und Berufsforschung (IAB), aus denen wir individuelle Arbeitslosigkeitsphasen berechnen. Diesen werden alle für uns verfügbaren Regionalindikatoren der Bundesagentur für Arbeit sowie des Statistischen Bundesamtes hinzugespielt. Mit Hilfe eines mikroökonometrischen Modells ermitteln wir alle individuellen und regionenspezifischen Determinanten, die einen Einfluss auf die Länge der Arbeitslosigkeit haben. Unser Regionenmatching basiert auf diesen relevanten Regionalvariablen und berücksichtigt weiterhin, wie stark ihr Einfluss ist. Häufig sind die so gefundenen nächsten Nachbarn auch geografisch benachbart.

Suggested Citation

  • Arntz, Melanie & Wilke, Ralf A. & Winterhager, Henrik, 2006. "Regionenmatching im Rahmen der Evaluation der Experimentierungsklausel des § 6c SGB II: Methodische Vorgehensweise und Ergebnisse," ZEW Discussion Papers 06-061, ZEW - Leibniz Centre for European Economic Research.
    • Handle: RePEc:zbw:zewdip:5455
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    1. Thomas, Jonathan M, 1996. "On the Interpretation of Covariate Estimates in Independent Competing-Risks Models," Bulletin of Economic Research, Wiley Blackwell, vol. 48(1), pages 27-39, January.
    2. Melanie Arntz & Ralf A. Wilke, 2007. "An application of cartographic area interpolation to German administrative data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 91(2), pages 159-180, August.
    3. Lee, Sokbae & Wilke, Ralf A., 2009. "Reform of Unemployment Compensation in Germany: A Nonparametric Bounds Analysis Using Register Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(2), pages 193-205.
    4. Melanie Arntz & Ralf Wilke, 2009. "Unemployment Duration in Germany: Individual and Regional Determinants of Local Job Finding, Migration and Subsidized Employment," Regional Studies, Taylor & Francis Journals, vol. 43(1), pages 43-61.
    5. Blien, Uwe & Hirschenauer, Franziska, 2005. "Vergleichstypen 2005: Neufassung der Regionaltypisierung für Vergleiche zwischen Agenturbezirken," IAB-Forschungsbericht 200524, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    7. Wilke, Ralf A. & Wichert, Laura, 2005. "Application of a simple nonparametric conditional quantile function estimator in unemployment duration analysis," ZEW Discussion Papers 05-67 [rev.], ZEW - Leibniz Centre for European Economic Research.
    8. Blien, Uwe & Hirschenauer, Franziska & Arendt, Manfred & Braun, Hans Jürgen & Gunst, Dieter-Michael & Kilcioglu, Sibel & Kleinschmidt, Helmut & Musati, Martina & Roß, Hermann & Vollkommer, Dieter & We, 2004. "Typisierung von Bezirken der Agenturen für Arbeit (Classification of employment office areas)," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 37(2), pages 146-175.
    9. Zhong Zhao, 2004. "Using Matching to Estimate Treatment Effects: Data Requirements, Matching Metrics, and Monte Carlo Evidence," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 91-107, February.
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    1. repec:iab:iabfda:200904(de is not listed on IDEAS
    2. Felix Rüb & Daniel Werner, 2008. "„Den Arbeitsmarkt“ gibt es nicht – Arbeitsmarktregionen des SGB II im Vergleich," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 28(2), pages 93-108, September.
    3. Melanie Arntz & Ralf Wilke, 2009. "Unemployment Duration in Germany: Individual and Regional Determinants of Local Job Finding, Migration and Subsidized Employment," Regional Studies, Taylor & Francis Journals, vol. 43(1), pages 43-61.
    4. Bernhard Boockmann & Stephan Thomsen & Thomas Walter, 2011. "Aktivierung der erwerbsfähigen Hilfebedürftigen mit arbeitsmarktpolitischen Maßnahmen – Wer wird gefördert?," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 4(4), pages 269-292, January.

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