IDEAS home Printed from
   My bibliography  Save this article

Residential Mobility of the European Elderly


  • Viola Angelini
  • Anne Laferrère


With the ageing of the European population, the housing choices of the large elderly cohorts will have consequences on the whole housing market. This article combines micro data from two waves of the Survey of Health, Ageing and Retirement in Europe (SHARE) with macro data on housing policy to analyse the residential mobility decisions of the elderly in 11 European countries. Residential mobility is low, but we find some evidence that those who move in old age tend to reduce housing consumption and investment by going from owning to renting. This 'downsizing' is positively linked to housing capital gains, while the existence of reverse mortgages in a country reduces it. We also find that mobility to nursing homes and mobility between private homes respond to different incentives and motivations. (JEL codes: D10, R21, R28). Copyright The Author 2011. Published by Oxford University Press on behalf of Ifo Institute for Economic Research, Munich. All rights reserved. For permissions, please email:, Oxford University Press.

Suggested Citation

  • Viola Angelini & Anne Laferrère, 2012. "Residential Mobility of the European Elderly," CESifo Economic Studies, CESifo, vol. 58(3), pages 544-569, September.
  • Handle: RePEc:oup:cesifo:v:58:y:2012:i:3:p:544-569

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

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

    Other versions of this item:


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

    Cited by:

    1. Bénédicte H. Apouey & Isabelle Chort, 2018. "Are rising house prices really good for your brain? House value and cognitive functioning among older Europeans," Working Papers hal-02141060, HAL.
    2. Sebastian Scheuer & Dagmar Haase & Annegret Haase & Nadja Kabisch & Manuel Wolff & Nina Schwarz & Katrin Großmann, 2020. "Combining tacit knowledge elicitation with the SilverKnETs tool and random forests – The example of residential housing choices in Leipzig," Environment and Planning B, , vol. 47(3), pages 400-416, March.
    3. Marois, Guillaume & Lord, Sébastien & Morency, Catherine, 2019. "A mixed logit model analysis of residential choices of the young-elderly in the Montreal metropolitan area," Journal of Housing Economics, Elsevier, vol. 44(C), pages 141-149.
    4. D. Isebaert, 2013. "Housing Tenure and Geographical Mobility in Belgium," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 13/855, Ghent University, Faculty of Economics and Business Administration.
    5. French, Declan & McKillop, Donal & Sharma, Tripti, 2018. "What determines UK housing equity withdrawal in later life?," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 143-154.
    6. Alexandra Schaffar & Michel Dimou & El Mouhoub Mouhoud, 2019. "The determinants of elderly migration in France," Papers in Regional Science, Wiley Blackwell, vol. 98(2), pages 951-972, April.
    7. Isabelle CHORT & Bénédicte APOUEY, 2018. "Are rising house prices really good for your brain? House value and cognitive functioning among older Europeans," Working Papers 2017-2018_7, CATT - UPPA - Université de Pau et des Pays de l'Adour, revised Oct 2018.
    8. Matthias Firgo & Ulrike Famira-Mühlberger, 2014. "Ausbau der stationären Pflege in den Bundesländern. Quantitative und qualitative Effekte des Einsatzes öffentlicher Mittel im Vergleich zur mobilen Pflege," WIFO Studies, WIFO, number 47447.

    More about this item

    JEL classification:

    • D10 - Microeconomics - - Household Behavior - - - General
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R28 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Government Policy


    Access and download statistics


    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:oup:cesifo:v:58:y:2012:i:3:p:544-569. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Oxford University Press). General contact details of provider: .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.