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The Mover-Stayer Model

Author

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  • RICHARD B. DAVIES

    (University of Wales Institute of Science & Technology)

  • ROBERT CROUCHLEY

    (University of Surrey, England)

Abstract

Recent developments in nonparametric marginal likelihood have generated a very general, but readily operationalized, method of overcoming the nuisance parameter problem in stochastic models. Theoretical, empirical, and simulation analyses show that the nonparametric approach seriously undermines the modeling advantages traditionally associated with the mover-stayer model. Moreover, the goodness-of-fit success often achieved by the mover-stayer model is shown to have a plausible explanation not requiring a true mover/stayer dichotomy in the population.

Suggested Citation

  • Richard B. Davies & Robert Crouchley, 1986. "The Mover-Stayer Model," Sociological Methods & Research, , vol. 14(4), pages 356-380, May.
    • Handle: RePEc:sae:somere:v:14:y:1986:i:4:p:356-380
    DOI: 10.1177/0049124186014004001
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    References listed on IDEAS

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    5. R. Davies & R. Crouchley & A. Pickles, 1982. "Modelling the evolution of heterogeneity in residential mobility," Demography, Springer;Population Association of America (PAA), vol. 19(3), pages 291-299, August.
    6. Davies, Richard B. & Crouchley, Robert, 1984. "Calibrating longitudinal models of residential mobility and migration An assessment of a non-parametric marginal likelihood approach," Regional Science and Urban Economics, Elsevier, vol. 14(2), pages 231-247, May.
    7. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    8. Burton Singer & Seymour Spilerman, 1976. "Some Methodological Issues in the Analysis of Longitudinal Surveys," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 447-474, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Oskrochi, G. R. & Davies, R. B., 1997. "Stayers in mixed Markov renewal models," Computational Statistics & Data Analysis, Elsevier, vol. 25(4), pages 453-464, September.
    2. Rolf Langeheine & Frank Van De Pol, 1990. "A Unifying Framework for Markov Modeling in Discrete Space and Discrete Time," Sociological Methods & Research, , vol. 18(4), pages 416-441, May.

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