IDEAS home Printed from https://ideas.repec.org/p/cqe/wpaper/9320.html
   My bibliography  Save this paper

Regional labour migration - Stylized facts for Germany

Author

Listed:
  • Mark Trede
  • Michael Zimmermann

Abstract

We present stylized facts of the local German labour markets in a systematic way. Using a large German administrative dataset and newly available regional price level data, we study workers' biographies at the local level. Huge regional variation is documented in: unemployment rates and nominal as well as real wages. The distinction between urban and rural areas plays a substantial role. We show that the real wage gap between East and West Germany still persists 30 years after reunification whereas unemployment rates tend to converge. We investigate monthly worker flows across 328 regions (roughly equivalent to NUTS 3 regions or "Landkreise"). Unemployed workers in depressed regions are less likely to move to a new working place in another region than unemployed workers in prosperous regions. The most (and increasingly) mobile group are unemployed workers in dense and active regions. Employed workers are less willing to move and have procyclical fluctuations in their moving rates.

Suggested Citation

  • Mark Trede & Michael Zimmermann, 2020. "Regional labour migration - Stylized facts for Germany," CQE Working Papers 9320, Center for Quantitative Economics (CQE), University of Muenster.
  • Handle: RePEc:cqe:wpaper:9320
    as

    Download full text from publisher

    File URL: https://www.wiwi.uni-muenster.de/cqe/sites/cqe/files/CQE_Paper/cqe_wp_93_2020.pdf
    File Function: Version of December 2020
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hartung, Benjamin & Jung, Philip & Kuhn, Moritz, 2018. "What Hides behind the German Labor Market Miracle? Unemployment Insurance Reforms and Labor Market Dynamics," IZA Discussion Papers 12001, Institute of Labor Economics (IZA).
    2. 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.
    3. Shigeru Fujita & Makoto Nakajima, 2016. "Worker Flows and Job Flows: A Quantitative Investigation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 22, pages 1-20, October.
    4. Guido Menzio & Shouyong Shi, 2011. "Efficient Search on the Job and the Business Cycle," Journal of Political Economy, University of Chicago Press, vol. 119(3), pages 468-510.
    5. repec:iab:iabfda:201904(en is not listed on IDEAS
    6. Nordmeier, Daniela, 2012. "Worker flows in Germany: Inspecting the time aggregation bias," IAB-Discussion Paper 201212, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. J. M. C. Santos Silva & Silvana Tenreyro, 2006. "The Log of Gravity," The Review of Economics and Statistics, MIT Press, vol. 88(4), pages 641-658, November.
    8. Jennifer Hunt, 2000. "Why Do People Still Live in East Germany?," NBER Working Papers 7564, National Bureau of Economic Research, Inc.
    9. Philip Jung & Moritz Kuhn, 2014. "Labour Market Institutions and Worker Flows: Comparing Germany and the US," Economic Journal, Royal Economic Society, vol. 124(581), pages 1317-1342, December.
    10. Lucy Qian Liu, 2018. "Regional Labor Mobility in Spain," IMF Working Papers 2018/282, International Monetary Fund.
    11. Antoni, Manfred & Ganzer, Andreas & Vom Berge, Philipp, 2019. "Sample of Integrated Labour Market Biographies Regional File (SIAB-R) 1975 - 2017," FDZ Datenreport. Documentation on Labour Market Data 201904_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    12. Frank W. Heiland, 2004. "Trends in East-West German Migration from 1989 to 2002," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 11(7), pages 173-194.
    13. Robert Shimer, 2005. "The Cyclical Behavior of Equilibrium Unemployment and Vacancies," American Economic Review, American Economic Association, vol. 95(1), pages 25-49, March.
    14. Sebastian Weinand & Ludwig von Auer, 2020. "Anatomy of regional price differentials: evidence from micro-price data," Spatial Economic Analysis, Taylor & Francis Journals, vol. 15(4), pages 413-440, October.
    15. Caliendo, Marco & Uhlendorff, Arne, 2008. "Self-Employment Dynamics, State Dependence and Cross-Mobility Patterns," IZA Discussion Papers 3900, Institute of Labor Economics (IZA).
    16. Bauer, Thomas K. & Rulff, Christian & Tamminga, Michael M., 2019. "Berlin calling - Internal migration in Germany," Ruhr Economic Papers 823, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ronald Bachmann & Peggy Bechara, 2019. "The Importance of Two‐Sided Heterogeneity for the Cyclicality of Labour Market Dynamics," Manchester School, University of Manchester, vol. 87(6), pages 794-820, December.
    2. Philip Jung & Moritz Kuhn, 2019. "Earnings Losses and Labor Mobility Over the Life Cycle," Journal of the European Economic Association, European Economic Association, vol. 17(3), pages 678-724.
    3. Leo Kaas & Philipp Kircher, 2015. "Efficient Firm Dynamics in a Frictional Labor Market," American Economic Review, American Economic Association, vol. 105(10), pages 3030-3060, October.
    4. Bachmann, Rüdiger & Bayer, Christian & Merkl, Christian & Seth, Stefan & Stüber, Heiko & Wellschmied, Felix, 2021. "Worker churn in the cross section and over time: New evidence from Germany," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 781-797.
    5. Moritz Kuhn & Iourii Manovskii & Xincheng Qiu, 2021. "The Geography of Job Creation and Job Destruction," NBER Working Papers 29399, National Bureau of Economic Research, Inc.
    6. Bachmann, Rüdiger & Bayer, Christian & Merkl, Christian & Seth, Stefan & Stüber, Heiko & Wellschmied, Felix, 2017. "Worker Churn and Employment Growth at the Establishment Level," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168162, Verein für Socialpolitik / German Economic Association.
    7. Sabine Klinger & Enzo Weber, 2016. "Decomposing Beveridge Curve Dynamics By Correlated Unobserved Components," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 877-894, December.
    8. Bauer, Thomas K. & Rulff, Christian & Tamminga, Michael M., 2019. "Berlin calling - Internal migration in Germany," Ruhr Economic Papers 823, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    9. Adrien Bilal & Niklas Engbom & Simon Mongey & Giovanni L. Violante, 2022. "Firm and Worker Dynamics in a Frictional Labor Market," Econometrica, Econometric Society, vol. 90(4), pages 1425-1462, July.
    10. Sniekers, F.J.T., 2013. "Endogenous Beveridge cycles and the volatility of unemployment," CeNDEF Working Papers 13-12, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    11. Gabriel J. Felbermayr & Mario Larch & Wolfgang Lechthaler, 2013. "Unemployment in an Interdependent World," American Economic Journal: Economic Policy, American Economic Association, vol. 5(1), pages 262-301, February.
    12. Jacquinot, Pascal & Lozej, Matija & Pisani, Massimiliano, 2022. "Macroeconomic effects of tariffs shocks: The role of the effective lower bound and the labour market," Journal of International Money and Finance, Elsevier, vol. 120(C).
    13. Kohlbrecher, Britta & Merkl, Christian & Nordmeier, Daniela, 2016. "Revisiting the matching function," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 350-374.
    14. Paolo Martellini & Guido Menzio, 2020. "Declining Search Frictions, Unemployment, and Growth," Journal of Political Economy, University of Chicago Press, vol. 128(12), pages 4387-4437.
    15. Shigeru Fujita & Garey Ramey, 2012. "Exogenous vs. endogenous separation," Working Papers 12-2, Federal Reserve Bank of Philadelphia.
    16. Shigeru Fujita & Makoto Nakajima, 2016. "Worker Flows and Job Flows: A Quantitative Investigation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 22, pages 1-20, October.
    17. Mitman, Kurt & Rabinovich, Stanislav, 2019. "Do Unemployment Benefit Extensions Explain the Emergence of Jobless Recoveries?," CEPR Discussion Papers 13760, C.E.P.R. Discussion Papers.
    18. Engelhardt, Bryan & Fuller, David L., 2012. "Labor force participation and pair-wise efficient contracts with search and bargaining," Labour Economics, Elsevier, vol. 19(3), pages 388-402.
    19. Carrillo-Tudela, Carlos & Launov, Andrey & Robin, Jean-Marc, 2021. "The fall in german unemployment: A flow analysis," European Economic Review, Elsevier, vol. 132(C).
    20. Serdar Birinci, 2019. "Spousal Labor Supply Response to Job Displacement and Implications for Optimal Transfers," Working Papers 2019-020, Federal Reserve Bank of St. Louis, revised 25 Sep 2021.

    More about this item

    Keywords

    labour mobility; business cycle fluctuations; regional disparities;
    All these keywords.

    JEL classification:

    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cqe:wpaper:9320. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Susanne Deckwitz (email available below). General contact details of provider: https://edirc.repec.org/data/cqmuede.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.