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Factors Influencing Tenure Choice in European Countries

  • Monika Bazyl

Homeownership rates are very different across European countries. They range from below 50% in Germany to over 80% in Greece, Spain or Ireland. However the differences lie not only in the overall homeownership rates but also in its structure, and this is the focus of this paper. Its aim is to study the impact of microeconomic factors on household's tenure choice, using a cross-country comparative approach. Logit models are constructed for each country using data for year 2000 from the Consortium of Household Panels for European Socio-Economic Research micro-database. The models show that marriage is a significant determinant of the decision to move to homeownership in all analysed countries, while co-habitating households are more likely to rent, except for Denmark. Nationality, income and age proved to be significant explanatory variables in several countries, while staying insignificant in others.

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Paper provided by DIW Berlin, The German Socio-Economic Panel (SOEP) in its series SOEPpapers on Multidisciplinary Panel Data Research with number 186.

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Length: 19 p.
Date of creation: 2009
Date of revision:
Handle: RePEc:diw:diwsop:diw_sp186
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  1. Mary O'Mahony & Marcel P. Timmer, 2009. "Output, Input and Productivity Measures at the Industry Level: The EU KLEMS Database," Economic Journal, Royal Economic Society, vol. 119(538), pages F374-F403, 06.
  2. Bourassa, Steven C, 2000. "Ethnicity, Endogeneity, and Housing Tenure Choice," The Journal of Real Estate Finance and Economics, Springer, vol. 20(3), pages 323-41, May.
  3. Mark Andrew, 2004. "A Permanent Change in the Route to Owner Occupation?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 51(1), pages 24-48, 02.
  4. Mark Andrew & Geoffrey Meen, 2003. "Housing Transactions and the Changing Decisions of Young Households in Britain: The Microeconomic Evidence," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 31(1), pages 117-138, 03.
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