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Who Gets What and Why? Vacancy Chains in Stockholm's Housing Market

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  • Lena Turner

Abstract

The importance of physical resources in influencing life chances makes the study of resource allocation processes and rules especially pertinent and this leads naturally to the question: who gets what and why? This article focuses on the significance of housing construction for residential mobility and addresses the vital question: who will gain from new construction? It examines whether it is possible to build directly for well-resourced households and hope that it indirectly also supports lower income households. It also examines the possibility that changes in the way in which the housing market operates with market-driven construction, geared at a post-modern housing lifestyle, have changed the situation for less well resourced households, compared to traditional housing construction. The study is based on a unique longitudinal database that covers the total population in Sweden over the period 2000–2002. The data are analysed using a Markov chain model that provides a way of analysing the relationship between vacancies in the housing market and household mobility. Tentative answers to questions on the length of the vacancy chains that are created when different types of dwellings become vacant in Stockholm city and what type of households are involved and not involved, are given. These answers have important implications for urban planning.

Suggested Citation

  • Lena Turner, 2008. "Who Gets What and Why? Vacancy Chains in Stockholm's Housing Market," European Journal of Housing Policy, Taylor and Francis Journals, vol. 8(1), pages 1-19.
  • Handle: RePEc:taf:eurjhp:v:8:y:2008:i:1:p:1-19
    DOI: 10.1080/14616710701817133
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    Cited by:

    1. Bratu, Cristina & Harjunen, Oskari & Saarimaa, Tuukka, 2023. "JUE Insight: City-wide effects of new housing supply: Evidence from moving chains," Journal of Urban Economics, Elsevier, vol. 133(C).
    2. Elliot Anenberg & Daniel R. Ringo, 2019. "The Propagation of Demand Shocks Through Housing Markets," Finance and Economics Discussion Series 2019-084, Board of Governors of the Federal Reserve System (U.S.).
    3. Matthew Palm & Katrina Eve Raynor & Georgia Warren-Myers, 2021. "Examining building age, rental housing and price filtering for affordability in Melbourne, Australia," Urban Studies, Urban Studies Journal Limited, vol. 58(4), pages 809-825, March.
    4. Mark Sommer & Raimund Kurzmann, 2016. "Kurzbeschreibung der Modelllandschaft im Projekt "Beschäftigungsmultiplikatoren und die Besetzung von Arbeitsplätzen in Österreich"," WIFO Studies, WIFO, number 58838, February.
    5. Peter Karpestam, 2018. "Who Benefits from More Housing? A Panel Data Study on the Role of Housing in the Intermunicipal Migration of Different Age Cohorts in Sweden," The Review of Regional Studies, Southern Regional Science Association, vol. 48(3), pages 401-425, Winter.
    6. Jean-Pierre Lévy & Olivier Boisard & Julien Salingue, 2017. "The ASHA model: An alternative to the Markovian approach to housing vacancy chains: An application to the study of population in Lille (Nord, France)," Urban Studies, Urban Studies Journal Limited, vol. 54(11), pages 2448-2471, August.
    7. Mast, Evan, 2023. "JUE Insight: The effect of new market-rate housing construction on the low-income housing market," Journal of Urban Economics, Elsevier, vol. 133(C).
    8. Evan Mast, 2019. "The Effect of New Market-Rate Housing Construction on the Low-Income Housing Market," Upjohn Working Papers 19-307, W.E. Upjohn Institute for Employment Research.
    9. Danny Ben-Shahar & Eyal Sulganik, 2011. "Vacancy chains and the degree of mobility in the housing market," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(3), pages 569-583, December.
    10. Bratu, Cristina & Harjunen, Oskari & Saarimaa, Tuukka, 2021. "City-wide effects of new housing supply: Evidence from moving chains," Working Papers 146, VATT Institute for Economic Research.

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