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Explaining regional unemployment differences in Germany: a spatial panel data analysis

  • Franziska Lottmann
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    This paper analyzes determinants for regional differences in German unemployment rates. We specify a spatial panel model to avoid biased and inefficient estimates due to spatial dependence. Additionally, we control for temporal dynamics in the data. Our study covers the whole of Germany as well as East andWest Germany separately. We exploit district-level data on 24 possible explanatory variables for the period from 1999 until 2007. Our results suggest that the spatial dynamic panel model is the best model for this analysis. Furthermore, we find that German regional unemployment is of disequilibrium nature, which justifies political interventions.

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    File URL: http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2012-026.pdf
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    Paper provided by Sonderforschungsbereich 649, Humboldt University, Berlin, Germany in its series SFB 649 Discussion Papers with number SFB649DP2012-026.

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    Length: 56 pages
    Date of creation: Mar 2012
    Date of revision:
    Handle: RePEc:hum:wpaper:sfb649dp2012-026
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    Web page: http://sfb649.wiwi.hu-berlin.de
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    1. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    2. Hans-Friedrich Eckey & Reinhold Kosfeld & Matthias Turck, 2006. "Regional Convergence in Germany. A Geographically Weighted Regression Approach," ERSA conference papers ersa06p461, European Regional Science Association.
    3. Mark Partridge & Dan Rickman, 1997. "The Dispersion of US State Unemployment Rates: The Role of Market and Non-market Equilibrium Factors," Regional Studies, Taylor & Francis Journals, vol. 31(6), pages 593-606.
    4. Nicolas Debarsy & Cem Ertur, 2009. "Testing for Spatial Autocorrelation in a Fixed Effects Panel Data Model," Post-Print halshs-00414133, HAL.
    5. Baltagi, Badi H. & Liu, Long, 2008. "Testing for random effects and spatial lag dependence in panel data models," Statistics & Probability Letters, Elsevier, vol. 78(18), pages 3304-3306, December.
    6. J. Paul Elhorst, 2003. "The Mystery of Regional Unemployment Differentials: Theoretical and Empirical Explanations," Journal of Economic Surveys, Wiley Blackwell, vol. 17(5), pages 709-748, December.
    7. Marston, Stephen T, 1985. "Two Views of the Geographic Distribution of Unemployment," The Quarterly Journal of Economics, MIT Press, vol. 100(1), pages 57-79, February.
    8. Georges Bresson & Badi H. Baltagi & Alain Pirotte, 2007. "Panel unit root tests and spatial dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 339-360.
    9. Badi H. Baltagi & Seuck Heun Song & Won Koh, 2002. "Testing Panel Data Regression Models with Spatial Error Correlation," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B6-4, International Conferences on Panel Data.
    10. Taylor, Jim & Bradley, Steve, 1997. "Unemployment in Europe: A Comparative Analysis of Regional Disparities in Germany, Italy and the UK," Kyklos, Wiley Blackwell, vol. 50(2), pages 221-45.
    11. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    12. Maddala, G S & Wu, Shaowen, 1999. " A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-52, Special I.
    13. Ron Martin, 1997. "Regional Unemployment Disparities and their Dynamics," Regional Studies, Taylor & Francis Journals, vol. 31(3), pages 237-252.
    14. Aragon, Y. & Haughton, D. & Haughton, J. & Leconte, E. & Malin, E. & Ruiz-Gazen, A. & Thomas-Agnan. C., 1999. "Explaining the Pattern of Regional Unemployment: the Case of the Midi-Pyrenees Region," Papers 99.519, Toulouse - GREMAQ.
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