Regional Unemployment in Germany: a spatial panel data analysis
This empirical paper wants to analyze determinants for regional differences in German unemployment rates using a spatial panel model. The analysis of regional differences is of particular interest in the German case due to its specific history. Twenty-two years after German reunification, there are still structural differences between both parts affecting economic activity. We identify the driving factors in the whole of Germany as well as in East and West Germany separately. To our best knowledge, this study is the first contribution investigating regional unemployment in the reunified Germany. We provide evidence of spatial dependence in regional unemployment data. Taking into account theoretical contributions to this literature, we exploit 24 possible explanatory variables on 412 German districts for the period from 1999 until 2007. To select the relevant variables for our model, we apply a two-step model selection procedure. Firstly, we divide our variables into three groups according to theoretical importance. Secondly, we regress regional unemployment rates on different combinations of variables where the essential variables are always contained. As unemployment data also exhibit temporal dependence, we specify both a static and a dynamic spatial panel model. The spatial econometric literature provides various types of spatial models. To decide which type of spatial model is appropriate in our context, we apply the specification test by Debarsy and Ertur (2010, Reg. Sci. Urban Econ.). The static model specification is estimated using the quasi-maximum likelihood estimator proposed in Lee and Yu (2010, J. Econometrics) and the dynamic model is estimated using the quasi-maximum likelihood estimator proposed by Lee and Yu (2010, Econometric Theory). To incorporate the spatial information into the model, we construct different spatial weights matrices. On the one hand, we use the binary contiguity matrix and, on the other, we apply a distance-based spatial weights matrix as well as the matrix proposed in Molho (1995, J. Reg. Sci.). We extend the existing literature by the following two aspects: Firstly, we apply both a static and a dynamic spatial panel model. Hence, we exploit the panel dimension of our data and, in addition to that, we account for both spatial and temporal dependence in the data. Our results show that the spatial dynamic panel model fits the data in the best way. Secondly, we provide evidence for regional unemployment in Germany being of disequilibrium nature. This finding justifies political interventions on regional labor markets. JEL: C23, R12, R23 Keywords: regional unemployment, spatial dependence, spatial panel models, Germany
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- Debarsy, Nicolas & Ertur, Cem, 2010.
"Testing for spatial autocorrelation in a fixed effects panel data model,"
Regional Science and Urban Economics,
Elsevier, vol. 40(6), pages 453-470, November.
- Nicolas DEBARSY (CERPE De Namur) & Cem ERTUR, 2009. "Testing for Spatial Autocorrelation in a Fixed Effects Panel Data Model," Working Papers 1546, Orleans Economic Laboratorys, University of Orleans.
- Nicolas Debarsy & Cem Ertur, 2009. "Testing for Spatial Autocorrelation in a Fixed Effects Panel Data Model," Post-Print halshs-00414133, HAL.
- Christian Bayer & Falko Jü�en, 2007.
"Convergence in West German Regional Unemployment Rates,"
German Economic Review,
Verein für Socialpolitik, vol. 8, pages 510-535, November.
- Bayer, Christian & Juessen, Falko, 2006. "Convergence in West German Regional Unemployment Rates," Technical Reports 2006,39, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
- Falko Juessen & Christian Bayer, 2005. "Convergence in West German Regional Unemployment Rates," ERSA conference papers ersa05p410, European Regional Science Association.
- Christian Bayer & Falko Juessen, 2004. "Convergence in West German Regional Unemployment Rates," Urban/Regional 0411007, EconWPA.
- Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2008. "Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large," Journal of Econometrics, Elsevier, vol. 146(1), pages 118-134, September.
- 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.
- Decressin, Jörg & Fatás, Antonio, 1994.
"Regional Labour Market Dynamics in Europe,"
CEPR Discussion Papers
1085, C.E.P.R. Discussion Papers.
- 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.
- Pasaran, M.H. & Im, K.S. & Shin, Y., 1995.
"Testing for Unit Roots in Heterogeneous Panels,"
Cambridge Working Papers in Economics
9526, Faculty of Economics, University of Cambridge.
- Jimeno, Juan F. & Bentolila, Samuel, 1998. "Regional unemployment persistence (Spain, 1976-1994)," Labour Economics, Elsevier, vol. 5(1), pages 25-51, March.
- 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.
- 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.
- 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.
- Badi H. Baltagi & Long Liu, 2008. "Testing for Random Effects and Spatial Lag Dependence in Panel Data Models," Center for Policy Research Working Papers 102, Center for Policy Research, Maxwell School, Syracuse University.
- Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
- Baltagi, Badi H. & Song, Seuck Heun & Koh, Won, 2003.
"Testing panel data regression models with spatial error correlation,"
Journal of Econometrics,
Elsevier, vol. 117(1), pages 123-150, November.
- 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.
- Ron Martin, 1997. "Regional Unemployment Disparities and their Dynamics," Regional Studies, Taylor & Francis Journals, vol. 31(3), pages 237-252.
- Hans-Friedrich Eckey & Reinhold Kosfeld & Matthias T�rck, 2007.
"Regional Convergence in Germany: a Geographically Weighted Regression Approach,"
Spatial Economic Analysis,
Taylor & Francis Journals, vol. 2(1), pages 45-64.
- 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.
- 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.
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