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What determines the supply of housing for the elderly, and how is it related to the spread of Covid-19 and future demographic changes?

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  • Kulander, Maria

    (University of Gävle, Sweden)

  • Wilhelmsson, Mats

    (Department of Real Estate and Construction Management, Royal Institute of Technology)

Abstract

As in many other countries, the population in Sweden is getting older. It means that the number of older people in society increases in absolute numbers and relative terms. Consequently, this will mean that the need for elderly housing will increase and the cost of these investments will be high. The following study aims to quantitatively analyse the spatial distribution of the number and size of housing for the elderly in Sweden over 2013-2018. The number of elderly housing per capita is not evenly distributed, and a large part of the explanation is, of course, that the number of older people is not evenly distributed between municipalities. Nevertheless, we can also state that the municipality's income level and tax base, as well as the geographical size and degree of urbanisation, play a role. If the municipality has a surplus or deficit in the supply of special housing for the elderly, it has no correlation with the distribution of Covid-19 cases or with the forecast number of older people in the future.

Suggested Citation

  • Kulander, Maria & Wilhelmsson, Mats, 2020. "What determines the supply of housing for the elderly, and how is it related to the spread of Covid-19 and future demographic changes?," Working Paper Series 20/18, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    • Handle: RePEc:hhs:kthrec:2020_018
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    File URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-288129
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    References listed on IDEAS

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    Keywords

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    JEL classification:

    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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