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Cumulative stress and cumulative inertia: a behavioral model of the decision to move


  • J O Huff
  • W A V Clark


A model of the probability of moving which incorporates aspects of the independent-trials process, the stage in the life cycle, and the concept of cumulative inertia is formulated. The model is based on the interaction of two forces. On the one hand there is a certain resistance to moving (cumulative inertia) and on the other the household may be dissatisfied with certain attributes of the present dwelling and its surroundings (residential stress). The probability of moving is a function of the resultant of these two conflicting forces. The model is designed not only to predict who will move (those individuals with high residential stress relative to their resistance to moving), but also to predict how an individual's probability of moving is likely to change over time. Some simple and limited simulations suggest that the model will capture rather well the different kinds of mobility rates which are observed from empirical data sets.

Suggested Citation

  • J O Huff & W A V Clark, 1978. "Cumulative stress and cumulative inertia: a behavioral model of the decision to move," Environment and Planning A, Pion Ltd, London, vol. 10(10), pages 1101-1119, October.
  • Handle: RePEc:pio:envira:v:10:y:1978:i:10:p:1101-1119

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    Cited by:

    1. Matthyssens Paul & Pauwels Pieter, 2002. "The Dynamics of International Market Withdrawal," Research Memorandum 048, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    2. Calvin Croy & Marjorie Bezdek & Christina Mitchell & Paul Spicer, 2009. "Young Adult Migration from a Northern Plains Indian Reservation: Who Stays and Who Leaves," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 28(5), pages 641-660, October.
    3. Philip S. Morrison & William A.V. Clark, 2016. "Loss aversion and duration of residence," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(36), pages 1079-1100, October.
    4. Bishop, Brian J. & Syme, Geoffrey J., 1995. "The social costs and benefits of urban consolidation: A time budget/contingent valuation approach," Journal of Economic Psychology, Elsevier, vol. 16(2), pages 223-245, July.
    5. Lierop, W.F.J. van & Nijkamp, P., 1982. "Perspectives of disaggregate choice models on the housing market," Serie Research Memoranda 0014, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    6. Lierop, W.F.J. van & Nijkamp, P., 1986. "Disaggregate residential choice models : review and case study," Serie Research Memoranda 0044, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    7. repec:iab:iabdpa:201803 is not listed on IDEAS
    8. McClain, Verena & Waldorf, Brigitte, 2017. "Borrowing From The Demographer's Toolbox: Longitudinal Methods in Regional Science," Working papers 264970, Purdue University, Department of Agricultural Economics.
    9. Mika Haapanen & Hannu Tervo, 2012. "Migration Of The Highly Educated: Evidence From Residence Spells Of University Graduates," Journal of Regional Science, Wiley Blackwell, vol. 52(4), pages 587-605, October.

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