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An Empirical Test of a Joint Model of Residential Mobility and Housing Choice

Author

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  • WAV Clark

    (Department of Geography, University of California, Los Angeles, CA 90024, USA)

  • J L Onaka

    (Planning Research Corporation, San Diego, CA 92101, USA)

Abstract

A nested multinomial logit (MNL) model is used to estimate the joint choice of moving and housing selection. The coefficients are derived from a sequential application of the standard MNL model using maximum likelihood. The choice of the dwelling type is followed by choice of neighborhood and finally by the choice of moving or staying. The models are estimated for three household categories and nine neighborhoods with data from the Rand Corporation Housing Allowance Supply Experiment. The dwelling-type choice model fits reasonably well and shows the expected significant impact of space on dwelling choice. The neighborhood choice model has smaller coefficients and is less successful. The alternative specific constants play a much larger role in determining the choice probabilities for neighborhoods. The final model of mobility choice exhibits a good fit for all the household categories. The results provide overall support for the sequential modelling approach outlined in this paper.

Suggested Citation

  • WAV Clark & J L Onaka, 1985. "An Empirical Test of a Joint Model of Residential Mobility and Housing Choice," Environment and Planning A, , vol. 17(7), pages 915-930, July.
    • Handle: RePEc:sae:envira:v:17:y:1985:i:7:p:915-930
    DOI: 10.1068/a170915
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    Cited by:

    1. Daichun Yi & Xiaoying Deng & Gang-Zhi Fan & Seow Eng Ong, 2018. "House Price and co-Residence with Older Parents: Evidence from China," The Journal of Real Estate Finance and Economics, Springer, vol. 57(3), pages 502-533, October.
    2. Kingsley E. Haynes & Stewart Fotheringham, 1990. "The Impact of Space on the Application Of Discrete Choice Models," The Review of Regional Studies, Southern Regional Science Association, vol. 20(2), pages 39-49, Spring.
    3. Fischer, Manfred M. & Nijkamp, Peter, 1987. "From static towards dynamic discrete choice modelling : A State of the Art Review," Regional Science and Urban Economics, Elsevier, vol. 17(1), pages 3-27, February.
    4. Nijkamp, Peter & Van Wissen, Leo & Rima, Annemarie, 1993. "A household life cycle model for residential relocation behaviour," Socio-Economic Planning Sciences, Elsevier, vol. 27(1), pages 35-53, March.
    5. Martínez, L. Miguel & Viegas, José Manuel, 2013. "A new approach to modelling distance-decay functions for accessibility assessment in transport studies," Journal of Transport Geography, Elsevier, vol. 26(C), pages 87-96.
    6. H. Boumeester, 2001. "The demand for more expensive owner-occupancy in the Netherlands," ERES eres2001_122, European Real Estate Society (ERES).
    7. Sener, Ipek N. & Pendyala, Ram M. & Bhat, Chandra R., 2011. "Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior," Journal of Transport Geography, Elsevier, vol. 19(2), pages 294-303.

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