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A Longitudinal Mixed Logit Model for Estimation of Push and Pull Effects in Residential Location Choice

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)1061-1074
Number of pages14
JournalJournal of the American Statistical Association
Volume111
Issue number515
DOIs
DateAccepted/In press - 1 Apr 2016
DatePublished (current) - Jul 2016

Abstract

We develop a random effects discrete choice model for the analysis of households' choice of neighbourhood over time. The model is parameterised in a way that exploits longitudinal data to separate the influence of neighbourhood characteristics on the decision to move out of the current area (\push" effects) and on the choice of one destination over another (\pull" efdfects). Random effects are included to allow for unobserved heterogeneity between households in their propensity to move, and in the importance placed on area characteristics. The model also includes area-level random effects. The combination of a large choice set, large sample size and repeated observations mean that existing estimation approaches are often infeasible. We therefore propose an effcient MCMC algorithm for the analysis of large-scale datasets. The model is applied in an analysis of residential choice in England using data from the British Household Panel Survey linked to neighbourhood-level census data. We consider how effects of area deprivation and distance from the current area depend on household characteristics and life course transitions in the previous year. We find substantial differences between households in the effects of deprivation on out-mobility and selection of destination, with evidence of severely constrained choices among less-advantaged households.

    Structured keywords

  • Jean Golding

    Research areas

  • Conditional logit model, Discrete choice model, Neighborhood choice, Random effects panel model, Residential mobility

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    Rights statement: This is the final published version of the article (version of record). It first appeared online via Taylor & Francis at http://www.tandfonline.com/doi/full/10.1080/01621459.2016.1180984. Please refer to any applicable terms of use of the publisher.

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    Rights statement: This is the final published version of the article (version of record). It first appeared online via Taylor & Francis at http://www.tandfonline.com/doi/full/10.1080/01621459.2016.1180984. Please refer to any applicable terms of use of the publisher.

    Final published version, 179 KB, PDF-document

    Licence: CC BY

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