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Commuting Time and Accessibility in a Joint Residential Location, Workplace, and Job Type Choice Model

Author

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  • Ignacio A. Inoa

    () (THEMA - Théorie économique, modélisation et applications - Université de Cergy Pontoise - CNRS - Centre National de la Recherche Scientifique)

  • Nathalie Picard

    () (THEMA - Théorie économique, modélisation et applications - Université de Cergy Pontoise - CNRS - Centre National de la Recherche Scientifique)

  • André De Palma

    () (ENS Cachan - École normale supérieure - Cachan)

Abstract

The effect of an individual-specific measure of accessibility to jobs is analyzed using a three-level nested logit model of residential location, workplace, and job type choice. This measure takes into account the attractiveness of different job types when the workplace choice is anticipated in the residential location decision. The model allows for variation in the preferences for job types across individuals and accounts for individual heterogeneity of preferences at each choice level in the following dimensions: education, age, gender and children. Using data from the Greater Paris Area, estimation results indicate that the individual-specific accessibility measure is an important determinant of the residential location choice and its effect differ along the life cycle. Results also show that the job type attractiveness measure is a more significant predictor of workplace location than the standard measures.

Suggested Citation

  • Ignacio A. Inoa & Nathalie Picard & André De Palma, 2013. "Commuting Time and Accessibility in a Joint Residential Location, Workplace, and Job Type Choice Model," Working Papers hal-00776945, HAL.
  • Handle: RePEc:hal:wpaper:hal-00776945 Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-00776945
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    References listed on IDEAS

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    1. Simpson, Wayne, 1980. "A simultaneous model of workplace and residential location incorporating job search," Journal of Urban Economics, Elsevier, vol. 8(3), pages 330-349, November.
    2. Linneman, Peter & Graves, Philip E., 1983. "Migration and job change: A multinomial logit approach," Journal of Urban Economics, Elsevier, vol. 14(3), pages 263-279, November.
    3. Kan, Kamhon, 1999. "Expected and Unexpected Residential Mobility," Journal of Urban Economics, Elsevier, vol. 45(1), pages 72-96, January.
    4. Eliasson, Jonas & Mattsson, Lars-Göran, 2000. "A model for integrated analysis of household location and travel choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(5), pages 375-394, June.
    5. David Levinson, 1998. "Accessibility and the Journey to Work," Working Papers 199802, University of Minnesota: Nexus Research Group.
    6. Andre Palma & Moshe Ben-Akiva & David Brownstone & Charles Holt & Thierry Magnac & Daniel McFadden & Peter Moffatt & Nathalie Picard & Kenneth Train & Peter Wakker & Joan Walker, 2008. "Risk, uncertainty and discrete choice models," Marketing Letters, Springer, vol. 19(3), pages 269-285, December.
      • André de Palma & Moshe Ben-Akiva & David Brownstone & Charles Holt & Thierry Magnac & Daniel McFadden & Peter Moffatt & Nathalie Picard & Kenneth Train & Peter Wakker & Joan Walker, 2008. "Risk, Uncertainty and Discrete Choice Models," THEMA Working Papers 2008-02, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    7. De Palma, Andre & Motamedi, Kiarash & Picard, Nathalie & Waddell, Paul, 2007. "Accessibility and environmental quality: inequality in the Paris housing market," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 36, pages 47-74.
    8. Siegel, Jay, 1975. "Intrametropolitan migration: A simultaneous model of employment and residential location of white and black households," Journal of Urban Economics, Elsevier, vol. 2(1), pages 29-47, January.
    9. Brian Lee & Paul Waddell, 2010. "Residential mobility and location choice: a nested logit model with sampling of alternatives," Transportation, Springer, vol. 37(4), pages 587-601, July.
    10. Bhat, Chandra R. & Guo, Jessica, 2004. "A mixed spatially correlated logit model: formulation and application to residential choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 38(2), pages 147-168, February.
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    Cited by:

    1. André de Palma & Nathalie Picard & Ignacio Inoa, 2014. "Discrete choice decision-making with multiple decision-makers within the household," Chapters,in: Handbook of Choice Modelling, chapter 16, pages 363-382 Edward Elgar Publishing.

    More about this item

    Keywords

    residential location; job location; accessibility; nested logit; Greater Paris;

    JEL classification:

    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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