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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. --

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Bibliographic Info

Paper provided by ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research in its series ZEW Discussion Papers with number 06-61.

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Date of creation: 2006
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Handle: RePEc:zbw:zewdip:5455

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References

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  1. Guido W. Imbens, 2003. "Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review," NBER Technical Working Papers 0294, National Bureau of Economic Research, Inc.
  2. Sokbae 'Simon' Lee & Ralf A. Wilke, 2005. "Reform of unemployment compensation in Germany: a nonparametric bounds analysis using register data," CeMMAP working papers CWP02/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  3. 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.
  4. 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].
  5. 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.
  6. 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.
  7. Wichert, Laura & Wilke, Ralf A., 2005. "Application of a simple nonparametric conditional quantile function estimator in unemployment duration analysis," ZEW Discussion Papers 05-67, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  8. Melanie Arntz & Ralf A. Wilke, 2007. "An application of cartographic area interpolation to German administrative data," AStA Advances in Statistical Analysis, Springer, vol. 91(2), pages 159-180, August.
  9. repec:iab:iabzaf:v:37:i:2:p:146-175 is not listed on IDEAS
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Cited by:
  1. 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.
  2. Bernhard Boockmann & Stephan Thomsen & Thomas Walter, 2011. "Aktivierung der erwerbsfähigen Hilfebedürftigen mit arbeitsmarktpolitischen Maßnahmen – Wer wird gefördert?," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer, vol. 4(4), pages 269-292, January.
  3. Felix Rüb & Daniel Werner, 2008. "„Den Arbeitsmarkt“ gibt es nicht – Arbeitsmarktregionen des SGB II im Vergleich," Jahrbuch für Regionalwissenschaft, Springer, vol. 28(2), pages 93-108, September.

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