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Cumulative Stress and Cumulative Inertia: A Behavioral Model of the Decision to Move

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  • J O Huff
  • W A V Clark

Abstract

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, , vol. 10(10), pages 1101-1119, October.
  • Handle: RePEc:sae:envira:v:10:y:1978:i:10:p:1101-1119
    DOI: 10.1068/a101101
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    References listed on IDEAS

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    1. Peter Morrison, 1967. "Duration of Residence and Prospective Migration: The Evaluation of a Stochastic Model," Demography, Springer;Population Association of America (PAA), vol. 4(2), pages 553-561, June.
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    3. M. Cordey‐Hayes & D. Gleave, 1974. "Migration Movements And The Differential Growth Of City Regions In England And Wales," Papers in Regional Science, Wiley Blackwell, vol. 33(1), pages 99-123, January.
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    Cited by:

    1. Bollen, P.W.L., 2002. "De totale samenhang tussen de diagramsoorten in UML," Research Memorandum 048, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    2. Kevin McHugh & Patricia Gober & Neil Reid, 1990. "Determinants of short- and long-term mobility expectations for home owners and renters," Demography, Springer;Population Association of America (PAA), vol. 27(1), pages 81-95, February.
    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.
    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. Glenn Deane, 1990. "Mobility and adjustments: Paths to the resolution of residential stress," Demography, Springer;Population Association of America (PAA), vol. 27(1), pages 65-79, February.
    6. Teichert, Christian & Niebuhr, Annekatrin & Otto, Anne & Rossen, Anja, 2018. "Graduate migration in Germany - new evidence from an event history analysis," IAB-Discussion Paper 201803, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. 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.
    8. 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.
    9. 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.
    10. 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.

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