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Commuting time changes following residential relocations and job relocations

Author

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  • Swärdh, Jan-Erik

    () (VTI)

Abstract

This paper focuses on empirical analysis of commuting time changes for workers who relocate residence, relocate job, or combine both residence and job relocation. A large register data set of individuals on the Swedish labor market, including travel times, is studied. Workers are not necessarily seeking to decrease their commuting time when they relocate job and/or residence. In fact, the average commuting time is longer after a relocation than before, thus suggesting that workers trade between a better job, a better residence and commuting time. The paper also presents results from a set of econometric models suggesting that commuting time changes differ substantially with respect to socio-economic characteristics as well as with respect to the part of the distribution of commuting time change that is analyzed.

Suggested Citation

  • Swärdh, Jan-Erik, 2009. "Commuting time changes following residential relocations and job relocations," Working Papers 2009:11, Swedish National Road & Transport Research Institute (VTI).
  • Handle: RePEc:hhs:vtiwps:2009_011
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    File URL: http://www.transportportal.se/SWoPEc/comtime_change.pdf
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    References listed on IDEAS

    as
    1. de Meza, David & Webb, David C, 2001. "Advantageous Selection in Insurance Markets," RAND Journal of Economics, The RAND Corporation, pages 249-262.
    2. Shogren, Jason F. & Crocker, Thomas D., 1991. "Risk, self-protection, and ex ante economic value," Journal of Environmental Economics and Management, Elsevier, vol. 20(1), pages 1-15, January.
    3. David Hemenway, 1990. "Propitious Selection," The Quarterly Journal of Economics, Oxford University Press, vol. 105(4), pages 1063-1069.
    4. Gunnar Lindberg, 2001. "Traffic Insurance and Accident Externality Charges," Journal of Transport Economics and Policy, University of Bath, vol. 35(3), pages 399-416, September.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Commuting time; Commuting time changes; Relocations; Register data; Longitudinal; Quantile regression;

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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