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A Generalised Beta-Logistic Model for Longitudinal Data with an Application to Residential Mobility

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  • R B Davies

    (Department of Town Planning, University of Wales Institute of Science and Technology, Cardiff CF1 3EU, Wales)

Abstract

The beta-logistic model described by Heckman and Willis in 1977 is generalised to include feedback effects and time-varying variables. The resulting model provides a flexible and analytically tractable framework for inference from longitudinal discrete-time data on recurrent choice. Moreover, consistency with the cross-sectional logit model ensures theoretical plausibility. The statistical and practical problems that have to be confronted in making the model operational are illustrated by an application to data on residential mobility.

Suggested Citation

  • R B Davies, 1984. "A Generalised Beta-Logistic Model for Longitudinal Data with an Application to Residential Mobility," Environment and Planning A, , vol. 16(10), pages 1375-1386, October.
    • Handle: RePEc:sae:envira:v:16:y:1984:i:10:p:1375-1386
    DOI: 10.1068/a161375
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    References listed on IDEAS

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    1. Heckman, James J & Willis, Robert J, 1977. "A Beta-logistic Model for the Analysis of Sequential Labor Force Participation by Married Women," Journal of Political Economy, University of Chicago Press, vol. 85(1), pages 27-58, February.
    2. Nickell, Stephen J, 1979. "Estimating the Probability of Leaving Unemployment," Econometrica, Econometric Society, vol. 47(5), pages 1249-1266, September.
    3. Lancaster, Tony, 1979. "Econometric Methods for the Duration of Unemployment," Econometrica, Econometric Society, vol. 47(4), pages 939-956, July.
    4. James Vaupel & Kenneth Manton & Eric Stallard, 1979. "The impact of heterogeneity in individual frailty on the dynamics of mortality," Demography, Springer;Population Association of America (PAA), vol. 16(3), pages 439-454, August.
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    Cited by:

    1. Taha Rashidi & Abolfazl Mohammadian & Frank Koppelman, 2011. "Modeling interdependencies between vehicle transaction, residential relocation and job change," Transportation, Springer, vol. 38(6), pages 909-932, November.
    2. Richard Davies & Andrew Pickles, 1986. "Accounting for omitted variables in a discrete time panel data model of residential mobility," Quality & Quantity: International Journal of Methodology, Springer, vol. 20(2), pages 219-233, June.
    3. Kitamura, Ryuichi, 1990. "Panel Analysis in Transportation Planning: An Overview," University of California Transportation Center, Working Papers qt86v0f7zh, University of California Transportation Center.
    4. Kitamura, Ryuichi & Bunch, David S., 1990. "Heterogeneity and State Dependence in Household Car Ownership: A Panel Analysis Using Ordered-Response Probit Models with Error Components," University of California Transportation Center, Working Papers qt0qv4q55r, University of California Transportation Center.

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