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Determinants of commuting flows in Germany

Author

Listed:
  • Anastasiia Piliuk

    (HSE University, Moscow, Russia;)

  • Elena Semerikova

    (HSE University, Moscow, Russia;)

  • Andreas Nastansky

    (Berlin School of Economics and Law, Berlin, Germany)

Abstract

The paper studies commuting flows between German regions. Using panel data of 400 German regions from 2013 to 2019 we evaluate the effect of the wide range of indicators determining the magnitude of the commuting flows: demographic factors, indicators of the labour and real estate markets, welfare variables, social and educational system characteristics, etc. We employ the gravity model analysis with Poisson Pseudo Maximum Likelihood, allowing us to consider even the absence of commuters between regions. The novelty of the research is that the full structure of commuting flows, including the direction, is analyzed at the aggregated district level. In addition to other papers devoted to the economics of the labor market and focused mostly on individual data and selected determinants, we investigate a wide range of possible factors and conclude that the main macroeconomic factors determining both the intensity and direction of commuting flows: population, unemployment rate, cost of leasing housing and the number of companies per 10000 people. We also find that commuting flows between regions in the same land are 202% higher than between regions from different lands, and commuting flows between neighbouring regions are 414.5% higher than between regions without a common border.

Suggested Citation

  • Anastasiia Piliuk & Elena Semerikova & Andreas Nastansky, 2023. "Determinants of commuting flows in Germany," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 71, pages 99-127.
    • Handle: RePEc:ris:apltrx:0480
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    References listed on IDEAS

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    1. John Östh & Urban Lindgren, 2012. "Do Changes In Gdp Influence Commuting Distances? A Study Of Swedish Commuting Patterns Between 1990 And 2006," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 103(4), pages 443-456, September.
    2. Gil Viry & Heiko Rüger & Thomas Skora, 2014. "Migration and Long-Distance Commuting Histories and Their Links to Career Achievement in Germany: A Sequence Analysis," Sociological Research Online, , vol. 19(1), pages 78-94, February.
    3. Annekatrin Niebuhr & Nadia Granato & Anette Haas & Silke Hamann, 2012. "Does Labour Mobility Reduce Disparities between Regional Labour Markets in Germany?," Regional Studies, Taylor & Francis Journals, vol. 46(7), pages 841-858, September.
    4. Wondesen Teshome Bekele & Fekadu Gelaw Mersha, 2019. "A Dynamic Panel Gravity Model Application on the Determinant Factors of Ethiopia’s Coffee Export Performance," Annals of Data Science, Springer, vol. 6(4), pages 787-806, December.
    5. Jørgen Lauridsen, 2006. "Spatial autoregressively distributed lag models: equivalent forms, estimation, and an illustrative commuting model," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 40(2), pages 297-311, June.
    6. Adriana Ana Maria Davidescu & Vasile Alecsandru Strat & Raluca Mariana Grosu & Ion-Daniel Zgura, 2017. "Determinants of Romanians' Migration within the European Union: Static and Dynamic Panel Gravity Approaches," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 19(46), pages 621-621, August.
    7. Daniela BUNEA, 2012. "Modern Gravity Models of Internal Migration. The Case of Romania," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(569)), pages 127-144, April.
    8. Aura Reggiani & Pietro Bucci & Giovanni Russo, 2011. "Accessibility and Network Structures in the German Commuting," Networks and Spatial Economics, Springer, vol. 11(4), pages 621-641, December.
    9. Achim Ahrens & Sean Lyons, 2021. "Do rising rents lead to longer commutes? A gravity model of commuting flows in Ireland," Urban Studies, Urban Studies Journal Limited, vol. 58(2), pages 264-279, February.
    10. Roberto Patuelli & Aura Reggiani & Sean Gorman & Peter Nijkamp & Franz-Josef Bade, 2007. "Network Analysis of Commuting Flows: A Comparative Static Approach to German Data," Networks and Spatial Economics, Springer, vol. 7(4), pages 315-331, December.
    11. Roberto Patuelli & Aura Reggiani & Peter Nijkamp & Franz-Josef Bade, 2010. "The evolution of the commuting network in Germany: Spatial and connectivity patterns," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 2(3), pages 5-37.
    12. Whalen, Kate E. & Páez, Antonio & Carrasco, Juan A., 2013. "Mode choice of university students commuting to school and the role of active travel," Journal of Transport Geography, Elsevier, vol. 31(C), pages 132-142.
    13. Thomas Skora & Heiko Rüger & Nico Stawarz, 2020. "Commuting and the Motherhood Wage Gap: Evidence from Germany," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    14. Bergstrand, Jeffrey H, 1989. "The Generalized Gravity Equation, Monopolistic Competition, and the Factor-Proportions Theory in International Trade," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 143-153, February.
    15. Fukunari Kimura & Hyun-Hoon Lee, 2006. "The Gravity Equation in International Trade in Services," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 142(1), pages 92-121, April.
    16. Siew Yean Tham & Soo Khoon Goh & Koi Nyen Wong & Ahmad Fadhli, 2018. "Bilateral Export Trade, Outward and Inward FDI: A Dynamic Gravity Model Approach Using Sectoral Data from Malaysia," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(12), pages 2718-2735, September.
    17. Stephan J. Goetz & Yicheol Han & Jill L. Findeis & Kathryn J. Brasier, 2010. "U.S. Commuting Networks and Economic Growth: Measurement and Implications for Spatial Policy," Growth and Change, Wiley Blackwell, vol. 41(2), pages 276-302, June.
    18. Santos, Georgina & Maoh, Hanna & Potoglou, Dimitris & von Brunn, Thomas, 2013. "Factors influencing modal split of commuting journeys in medium-size European cities," Journal of Transport Geography, Elsevier, vol. 30(C), pages 127-137.
    19. Filippo Simini & Marta C. González & Amos Maritan & Albert-László Barabási, 2012. "A universal model for mobility and migration patterns," Nature, Nature, vol. 484(7392), pages 96-100, April.
    20. Kiyong Keum, 2010. "Tourism flows and trade theory: a panel data analysis with the gravity model," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 44(3), pages 541-557, June.
    21. David Karemera & Victor Iwuagwu Oguledo & Bobby Davis, 2000. "A gravity model analysis of international migration to North America," Applied Economics, Taylor & Francis Journals, vol. 32(13), pages 1745-1755.
    22. Bun Song Lee & John F. McDonald, 2003. "Determinants of Commuting Time and Distance for Seoul Residents: The Impact of Family Status on the Commuting of Women," Urban Studies, Urban Studies Journal Limited, vol. 40(7), pages 1283-1302, June.
    23. Nashrul Wajdi & Sri Moertiningsih Adioetomo & Clara H. Mulder, 2017. "Gravity Models of Interregional Migration in Indonesia," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 53(3), pages 309-332, September.
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    Keywords

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    JEL classification:

    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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