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Testing the Neoclassical Migration Model: Overall and Age-Group Specific Results for German Regions

In: Empirical Modelling in Regional Science

Author

Listed:
  • Timo Mitze

    (Rheinisch-Westfälisches Institut für Wirtschaftsforschung)

Abstract

This chapter tests the empirical validity of the neoclassical migration model in predicting German internal migration flows. We estimate static and dynamic migration functions for 97 Spatial Planning Regions between 1996 and 2006 using key labor market signals including income and unemployment differences among a broader set of explanatory variables. Besides an aggregate specification we also estimate the model for age-group related subsamples. Our results give empirical support for the main transmission channels identified by the neoclassical framework—both at the aggregate level as well as for age-group specific estimates. Thereby, the impact of labor market signals is tested to be of greatest magnitude for workforce relevant age-groups and especially young cohorts between 18 to 25 and 25 to 30 years. This latter result underlines the prominent role played by labor market conditions in determining internal migration rates of the working population in Germany.

Suggested Citation

  • Timo Mitze, 2012. "Testing the Neoclassical Migration Model: Overall and Age-Group Specific Results for German Regions," Lecture Notes in Economics and Mathematical Systems, in: Empirical Modelling in Regional Science, edition 127, chapter 0, pages 53-82, Springer.
    • Handle: RePEc:spr:lnechp:978-3-642-22901-5_3
    DOI: 10.1007/978-3-642-22901-5_3
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    Cited by:

    1. Fuchs, Michaela & Weyh, Antje, 2016. "Rückwanderung von Beschäftigten nach Sachsen-Anhalt : Eine Analyse anhand der Beschäftigten-Historik des IAB," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Sachsen-Anhalt-Thüringen 201601, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Fuchs, Michaela & Weyh, Antje, 2016. "Rückwanderung von Beschäftigten nach Thüringen : eine Analyse anhand der Beschäftigten-Historik des IAB," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Sachsen-Anhalt-Thüringen 201602, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Imran Sarihasan, 2017. "The Gender Differences Of Immigration In Oecd Countries," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 697-706, July.
    4. Meister, Moritz & Stiller, Johannes & Peters, Jan Cornelius & Birkeneder, Antonia, "undated". "Die Binnenwanderung von Arbeitskräften in Deutschland: Eine deskriptive Analyse für ländliche Räume auf Basis der Integrierten Erwerbsbiografien (IEB) des IAB," Thünen Working Paper 298448, Johann Heinrich von Thünen-Institut (vTI), Federal Research Institute for Rural Areas, Forestry and Fisheries.
    5. 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.
    6. Timo Mitze & Torben Schmidt, 2015. "Internal migration, regional labor markets and the role of agglomeration economies," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(1), pages 61-101, October.
    7. Imran SARIHASAN, 2016. "Immigration Growth Tendencies In Oecd Countries," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 12, pages 547-553, December.

    More about this item

    Keywords

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    JEL classification:

    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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