IDEAS home Printed from https://ideas.repec.org/a/taf/jnlasa/v111y2016i515p1061-1074.html
   My bibliography  Save this article

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

Author

Listed:
  • Fiona Steele
  • Elizabeth Washbrook
  • Christopher Charlton
  • William J. Browne

Abstract

We develop a random effects discrete choice model for the analysis of households’ choice of neighborhood over time. The model is parameterized in a way that exploits longitudinal data to separate the influence of neighborhood characteristics on the decision to move out of the current area (“push” effects) and on the choice of one destination over another (“pull” effects). 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 efficient 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 neighborhood-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. Supplementary materials for this article are available online.

Suggested Citation

  • Fiona Steele & Elizabeth Washbrook & Christopher Charlton & William J. Browne, 2016. "A Longitudinal Mixed Logit Model for Estimation of Push and Pull Effects in Residential Location Choice," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(515), pages 1061-1074, July.
    • Handle: RePEc:taf:jnlasa:v:111:y:2016:i:515:p:1061-1074
    DOI: 10.1080/01621459.2016.1180984
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01621459.2016.1180984
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/01621459.2016.1180984?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nada Wasi & Michael P. Keane, 2012. "Estimation of Discrete Choice Models with Many Alternatives Using Random Subsets of the Full Choice Set: With an Application to Demand for Frozen Pizza," Economics Papers 2012-W13, Economics Group, Nuffield College, University of Oxford.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Doddamani, Chetan & Manoj, M. & Maurya, Yashasvi, 2021. "Geographical scale of residential relocation and its impacts on vehicle ownership and travel behavior," Journal of Transport Geography, Elsevier, vol. 94(C).
    2. Arthur Grimes & Judd Ormsby & Kate Preston, 2017. "Wages, Wellbeing and Location: Slaving Away in Sydney or Cruising on the Gold Coast," Working Papers 17_07, Motu Economic and Public Policy Research.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Youyi Bi & Yunjian Qiu & Zhenghui Sha & Mingxian Wang & Yan Fu & Noshir Contractor & Wei Chen, 2021. "Modeling Multi-Year Customers’ Considerations and Choices in China’s Auto Market Using Two-Stage Bipartite Network Analysis," Networks and Spatial Economics, Springer, vol. 21(2), pages 365-385, June.
    2. Crawford, Gregory S. & Griffith, Rachel & Iaria, Alessandro, 2021. "A survey of preference estimation with unobserved choice set heterogeneity," Journal of Econometrics, Elsevier, vol. 222(1), pages 4-43.
    3. Romana Khan & Ting Zhu & Sanjay Dhar, 2018. "The effect of the WIC program on consumption patterns in the cereal category," Quantitative Marketing and Economics (QME), Springer, vol. 16(1), pages 79-109, March.
    4. Hellali, Wajdi & Kallas, Zein & Gil, José María, 2015. "Consumer’s revealed preferences for yogurt purchase in Catalonia: A Generalized Multinomial Logit Approach," 148th Seminar, November 30-December 1, 2015, The Hague, The Netherlands 229263, European Association of Agricultural Economists.
    5. Beck, Günter W. & Kotz, Hans-Helmut & Zabelina, Natalia, 2016. "Prices and consumer purchasing preferences at the border: Evidence from a multi-country household scanner data set," CFS Working Paper Series 536, Center for Financial Studies (CFS).
    6. Khai Xiang Chiong & Matthew Shum, 2019. "Random Projection Estimation of Discrete-Choice Models with Large Choice Sets," Management Science, INFORMS, vol. 65(1), pages 256-271, January.
    7. Jonathan James, 2018. "Estimation of Factor Structured Covariance Mixed Logit Models," Working Papers 1802, California Polytechnic State University, Department of Economics.
    8. James, Jonathan, 2018. "Estimation of factor structured covariance mixed logit models," Journal of choice modelling, Elsevier, vol. 28(C), pages 41-55.
    9. Michael P. Keane & Susan Thorp, 2016. "Complex Decision Making: The Roles of Cognitive Limitations, Cognitive Decline and Ageing," Economics Papers 2016-W10, Economics Group, Nuffield College, University of Oxford.
    10. Murwirapachena, Genius & Dikgang, Johane, 2018. "An empirical examination of reducing status quo bias in heterogeneous populations: evidence from the South African water sector," MPRA Paper 91549, University Library of Munich, Germany.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:jnlasa:v:111:y:2016:i:515:p:1061-1074. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/UASA20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.