Duration dependence in migration behaviour: cumulative inertia versus stochastic change
AbstractIn this paper a new theoretical framework and supporting empirical evidence on the relationship between movement probabilities and length of stay are presented. Individuals' evaluations of the relative value of alternative locations are assumed to evolve stochastically, with a possible tendency either to cumulative inertia or to cumulative stress. In general this yields a nonmonotonic duration function, with probabilities of movement starting at zero, rising and then falling -- a pattern consistent with either cumulative tendency, or neither. A version of the model fitted to data on household movement intentions, from the UK General Household Survey, confirms the hypothesised form of this function and indicates a dominance of cumulative stress over cumulative inertia.
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Bibliographic InfoArticle provided by Pion Ltd, London in its journal Environment and Planning A.
Volume (Year): 27 (1995)
Issue (Month): 12 (December)
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Web page: http://www.pion.co.uk
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- Mika Haapanen & Hannu Tervo, 2006. "Migration Behaviour and Duration of Residence Spells of Graduating Students in Finland in 1987-2002," ERSA conference papers ersa06p379, European Regional Science Association.
- Otrachshenko, Vladimir & Popova, Olga, 2014.
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- Vladimir Otrachshenko & Olga Popova, 2012. "Life (Dis)satisfaction and the Decision to Migrate: Evidence from Central and Eastern Europe," CERGE-EI Working Papers wp460, The Center for Economic Research and Graduate Education - Economic Institute, Prague.
- Vladimir Otrachshenko & Olga Popova, 2011. "Life (Dis)satisfaction and the Decision to Migrate: Evidence from Central and Eastern Europe," Working Papers 306, Institut für Ost- und Südosteuropaforschung (Institute for East and South-East European Studies).
- Vladimir Otrachshenko & Olga Popova, 2012. "Life (Dis)satisfaction and the Decision to Migrate: Evidence from Central and Eastern Europe," FEUNL Working Paper Series wp570, Universidade Nova de Lisboa, Faculdade de Economia.
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