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Intra-household Decision Models of Residential and Job Location

Author

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  • Ignacio A. INOA

    (Université de Cergy-Pontoise, THEMA)

  • Nathalie PICARD

    (Université de Cergy-Pontoise, THEMA)

  • André de PALMA

    (Ecole Polytechnique, Departement d’Economie)

Abstract

Residential location decision is often a household joint decision involving several decision-makers. These different decision-makers usually have diverging preferences, especially in dual-earner households, when spouses work at different locations. Since about half a century, literature on residential location has studied in great detail the influence of socio-demographic characteristics (and in particular the differences between females and males or between multiple-worker and single-worker households). However, there is no research devoted to the within-family joint decision process leading to residential location decision (and work-place decisions). In the context of Paris Area, we analyze differences between spouses’ values of commuting times and show that spouses’ disparities in commuting decisions is a key element in the intra-household decision process. The single-worker household approach leaves aside by construction important intra-household considerations that influence commuting time and accessibility to jobs. We review different models useful to study intra-household decisions in dual-earner households. To do that, we base our analysis on the framework introduced by Chiappori, de Palma, Picard, and Inoa (2013), which applies the collective approach of household behavior(Chiappori, 1988; Chiappori, 1992) to describe residential location choice of dual-earner households. This collective approach has been used in several economic fields, but not in urban and transport economics so far. Furthermore, we argue that the framework developed by Inoa, Picard, and de Palma (2013), can also be adapted to analyze the joint residential and job location decisions in a two-worker household. The analysis is based on two accessibility variables (one for each spouse) embedded in a three-level nested Logit model which is used to study the interdependence of residential and workplace locations, while accounting for variation of preferences for job types across individuals.

Suggested Citation

  • Ignacio A. INOA & Nathalie PICARD & André de PALMA, 2014. "Intra-household Decision Models of Residential and Job Location," THEMA Working Papers 2014-05, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
  • Handle: RePEc:ema:worpap:2014-05
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    References listed on IDEAS

    as
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    Cited by:

    1. Matthew J. Beck & John M. Rose, 2019. "Stated preference modelling of intra-household decisions: Can you more easily approximate the preference space?," Transportation, Springer, vol. 46(4), pages 1195-1213, August.
    2. Donni, Olivier & Molina, José Alberto, 2018. "Household Collective Models: Three Decades of Theoretical Contributions and Empirical Evidence," IZA Discussion Papers 11915, Institute of Labor Economics (IZA).
    3. Nathalie Picard & Andre de Palma & Sophie Dantan, 2013. "Intra-Household Discrete Choice Models Of Mode Choice And Residential Location," Articles, International Journal of Transport Economics, vol. 40(3).
    4. Nathalie Picard & Sophie Dantan & André de Palma, 2015. "Modelling mode choice within couples," THEMA Working Papers 2015-17, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    5. Palma, André de & Lindsey, Robin & Picard, Nathalie, 2015. "Trip-timing decisions and congestion with household scheduling preferences," Economics of Transportation, Elsevier, vol. 4(1), pages 118-131.
    6. Nathalie Picard & Sophie Dantan & André Palma, 2018. "Mobility decisions within couples," Theory and Decision, Springer, vol. 84(2), pages 149-180, March.
    7. Jason Hawkins & Adam Weiss & Khandker Nurul Habib, 2021. "Household-level dynamics in residential location choice modelling with a latent auction method," Environment and Planning B, , vol. 48(2), pages 314-330, February.

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    More about this item

    Keywords

    intra-household interaction; residential location; Paris region;
    All these keywords.

    JEL classification:

    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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