IDEAS home Printed from https://ideas.repec.org/a/spr/anresc/v72y2024i3d10.1007_s00168-023-01223-4.html
   My bibliography  Save this article

Persistence of commuting habits: context effects in Germany

Author

Listed:
  • Ramona Jost

    (Institute for Employment Research (IAB))

Abstract

In this study, I investigate the commuting behavior of workers in Germany. Using comprehensive geo-referenced administrative employee and firm data, I can calculate the exact commuting time and the distance between workers’ residence and workplace locations. Based on a behavioral economic approach (Simonson and Tveresky in J Mark Res 29:281–295, 1992), I show that individual commuting decisions are influenced by wages and individual heterogeneity as well as depending on the context individuals observed in the past. In particular, my results show that previously observed commutes have an impact on subsequent commuting behavior: workers choose longer commuting times in the region they recently moved to when the average commute in the region they left was longer. The results indicate that while selectivity and sorting do not influence the effect of the context, the inclusion of individual fixed effects is crucial.

Suggested Citation

  • Ramona Jost, 2024. "Persistence of commuting habits: context effects in Germany," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 72(3), pages 837-862, March.
  • Handle: RePEc:spr:anresc:v:72:y:2024:i:3:d:10.1007_s00168-023-01223-4
    DOI: 10.1007/s00168-023-01223-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00168-023-01223-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s00168-023-01223-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. David Card & Jörg Heining & Patrick Kline, 2013. "Workplace Heterogeneity and the Rise of West German Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(3), pages 967-1015.
    2. Jan K. Brueckner & Lenka Št'astná, 2020. "Commuting and migration," Journal of Regional Science, Wiley Blackwell, vol. 60(5), pages 853-877, November.
    3. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 1039-1061.
    4. Ismir Mulalic & Jos N. Van Ommeren & Ninette Pilegaard, 2014. "Wages and Commuting: Quasi‐natural Experiments' Evidence from Firms that Relocate," Economic Journal, Royal Economic Society, vol. 124(579), pages 1086-1105, September.
    5. Jan Rouwendal & Piet Rietveld, 1994. "Changes in Commuting Distances of Dutch Households," Urban Studies, Urban Studies Journal Limited, vol. 31(9), pages 1545-1557, November.
    6. Ostermann, Kerstin & Eppelsheimer, Johann & Gläser, Nina & Haller, Peter & Oertel, Martina, 2022. "Geodata in labor market research: trends, potentials and perspectives," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 56, pages 1-5.
    7. Van Ommeren, Jos & Fosgerau, Mogens, 2009. "Workers' marginal costs of commuting," Journal of Urban Economics, Elsevier, vol. 65(1), pages 38-47, January.
    8. Giménez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2022. "Trends in commuting time of European workers: A cross-country analysis," Transport Policy, Elsevier, vol. 116(C), pages 327-342.
    9. Samuel M. Hartzmark & Kelly Shue, 2017. "A Tough Act to Follow: Contrast Effects In Financial Markets," NBER Working Papers 23883, National Bureau of Economic Research, Inc.
    10. Jos van Ommeren, 2005. "Commuting: The Contribution of Search Theory," Contributions to Economic Analysis, in: Urban Dynamics and Growth: Advances in Urban Economics, pages 347-380, Emerald Group Publishing Limited.
    11. Jos Van Ommeren & Gerard J. Van Den Berg & Cees Gorter, 2000. "Estimating the Marginal Willingness to Pay for Commuting," Journal of Regional Science, Wiley Blackwell, vol. 40(3), pages 541-563, August.
    12. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    13. Duan, Yige & Jost, Oskar & Jost, Ramona, 2022. "Beyond lost earnings: The long-term impact of jobdisplacement on workers' commuting behavior," CLEF Working Paper Series 44, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    14. Bettman, James R & Luce, Mary Frances & Payne, John W, 1998. "Constructive Consumer Choice Processes," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(3), pages 187-217, December.
    15. José Ignacio Giménez†Nadal & José Alberto Molina & Jorge Velilla, 2018. "Spatial distribution of US employment in an urban efficiency wage setting," Journal of Regional Science, Wiley Blackwell, vol. 58(1), pages 141-158, January.
    16. Dauth, Wolfgang & Haller, Peter, 2020. "Is there loss aversion in the trade-off between wages and commuting distances?," Regional Science and Urban Economics, Elsevier, vol. 83(C).
    17. Harl E. Ryder & Geoffrey M. Heal, 1973. "Optimal Growth with Intertemporally Dependent Preferences," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 40(1), pages 1-31.
    18. Uri Simonsohn & George Loewenstein, 2006. "Mistake #37: The Effect of Previously Encountered Prices on Current Housing Demand," Economic Journal, Royal Economic Society, vol. 116(508), pages 175-199, January.
    19. Saurabh Bhargava & Ray Fisman, 2014. "Contrast Effects in Sequential Decisions: Evidence from Speed Dating," The Review of Economics and Statistics, MIT Press, vol. 96(3), pages 444-457, July.
    20. Huber, Joel & Payne, John W & Puto, Christopher, 1982. "Adding Asymmetrically Dominated Alternatives: Violations of Regularity and the Similarity Hypothesis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(1), pages 90-98, June.
    21. Zabel, Jeffrey E., 2012. "Migration, housing market, and labor market responses to employment shocks," Journal of Urban Economics, Elsevier, vol. 72(2), pages 267-284.
    22. Stephan Brunow & Manuela Gründer, 2013. "The impact of activity chaining on the duration of daily activities," Transportation, Springer, vol. 40(5), pages 981-1001, September.
    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. Jost, Ramona, 2020. "Persistence of commuting habits: Context effects in Germany," IAB-Discussion Paper 202014, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Jośé Ignacio Giménez-Nadal & José Alberto Molina & Jorge Velilla, 2025. "Commuting, Wages, and Household Decisions," Boston College Working Papers in Economics 1087, Boston College Department of Economics.
    3. Gimenez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2024. "Commuting, Wages, and Household Behavior," IZA Discussion Papers 17128, Institute of Labor Economics (IZA).
    4. Dauth, Wolfgang & Haller, Peter, 2020. "Is there loss aversion in the trade-off between wages and commuting distances?," Regional Science and Urban Economics, Elsevier, vol. 83(C).
    5. Dauth, Wolfgang & Haller, Peter, 2016. "The valuation of changes in commuting distances: an analysis using georeferenced data," IAB-Discussion Paper 201643, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Dauth, Wolfgang & Haller, Peter, 2019. "Loss aversion in the trade-off between wages and commuting distances," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203611, Verein für Socialpolitik / German Economic Association.
    7. Borghorst, Malte & Mulalic, Ismir & van Ommeren, Jos, 2024. "Commuting, gender and children," Journal of Urban Economics, Elsevier, vol. 144(C).
    8. José Ignacio Giménez-Nadal & José Alberto Molina & Jorge Velilla, 2024. "Intermediate activities while commuting," Review of Economics of the Household, Springer, vol. 22(3), pages 1185-1220, September.
    9. Jacobs Martin, 2016. "Accounting for Changing Tastes: Approaches to Explaining Unstable Individual Preferences," Review of Economics, De Gruyter, vol. 67(2), pages 121-183, August.
    10. Baumgart, Eike & Blaufus, Kay & Hechtner, Frank, 2023. "The tax treatment of commuting expenses and job-related mobility," arqus Discussion Papers in Quantitative Tax Research 280, arqus - Arbeitskreis Quantitative Steuerlehre.
    11. Diels, Jana Luisa & Wiebach, Nicole, 2011. "Customer reactions in Out-of-Stock situations: Do promotion-induced phantom positions alleviate the similarity substitution hypothsis?," SFB 649 Discussion Papers 2011-021, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    12. Giménez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2022. "Trends in commuting time of European workers: A cross-country analysis," Transport Policy, Elsevier, vol. 116(C), pages 327-342.
    13. Meekes, Jordy & Hassink, Wolter, 2017. "The Role of the Housing Market in Workers' Resilience to Job Displacement after Firm Bankruptcy," IZA Discussion Papers 10894, Institute of Labor Economics (IZA).
    14. Jiajia Wei & Qiyan Wang & Wang Gao, 2022. "How Commuting Time Affects Employees’ Income in China’s Urbanization Process," Sustainability, MDPI, vol. 14(23), pages 1-18, November.
    15. Echeverría, Lucía & Gimenez-Nadal, J. Ignacio & Molina, José Alberto, 2023. "Commuting in dual-earner households: International Gender Differences with Time Use Surveys," GLO Discussion Paper Series 1307, Global Labor Organization (GLO).
    16. Reichelt, Malte & Haas, Anette, 2015. "Commuting farther and earning more? : how employment density moderates workers commuting distance," IAB-Discussion Paper 201533, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    17. J-J Huang, 2009. "Revised behavioural models for riskless consumer choice," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(9), pages 1237-1243, September.
    18. Müller, Holger & Benjamin Kroll, Eike & Vogt, Bodo, 2010. "“Fact or artifact? Empirical evidence on the robustness of compromise effects in binding and non-binding choice contextsâ€," Journal of Retailing and Consumer Services, Elsevier, vol. 17(5), pages 441-448.
    19. Ignacio Gimenez-Nadal, J. & Molina, Jose Alberto & Velilla, Jorge, 2018. "The commuting behavior of workers in the United States: Differences between the employed and the self-employed," Journal of Transport Geography, Elsevier, vol. 66(C), pages 19-29.
    20. Utpal M. Dholakia & Itamar Simonson, 2005. "The Effect of Explicit Reference Points on Consumer Choice and Online Bidding Behavior," Marketing Science, INFORMS, vol. 24(2), pages 206-217, October.

    More about this item

    JEL classification:

    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • R19 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Other
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

    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:spr:anresc:v:72:y:2024:i:3:d:10.1007_s00168-023-01223-4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.