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A Synthetic Cohort Analysis of Canadian Housing Careers

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Listed:
  • Thomas F. Crossley
  • Yuri Ostrovsky

Abstract

This paper uses a time-series of cross-sections drawn from three different surveys to explore life-cycle profiles of housing arrangements in Canada. Synthetic cohort (quasi-panel) methods are employed to disentangle age profiles from cohort effects. The results suggest limited "downsizing" in later life. Potential biases arising from changes in cohort composition are also explored.

Suggested Citation

  • Thomas F. Crossley & Yuri Ostrovsky, 2003. "A Synthetic Cohort Analysis of Canadian Housing Careers," Social and Economic Dimensions of an Aging Population Research Papers 107, McMaster University.
    • Handle: RePEc:mcm:sedapp:107
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    File URL: http://socserv.mcmaster.ca/sedap/p/sedap107.pdf
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    References listed on IDEAS

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    Cited by:

    1. Maria Chiuri & Tullio Jappelli, 2010. "Do the elderly reduce housing equity? An international comparison," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(2), pages 643-663, March.
    2. Timothy Smeeding & Eva Sierminska & Andrea Brandolini, 2006. "Cross National Comparison of Income and Wealth Status in Retirement: First Results from the Luxembourg Wealth Study (LWS)," LWS Working papers 2, LIS Cross-National Data Center in Luxembourg.
    3. Chunil Kim & Hyobi Choi & Yeol Choi, 2021. "Retirement Age and Housing Consumption: The Case of South Korea," Sustainability, MDPI, vol. 13(3), pages 1-21, January.
    4. R. Bottazzi & T. Crossley & M. Wakefield, 2011. "House Prices and Home Ownership: a Cohort Analysis," Working Papers wp790, Dipartimento Scienze Economiche, Universita' di Bologna.
    5. Renata Bottazzi & Thomas Crossley & Matthew Wakefield, 2012. "Late starters or excluded generations? A cohort analysis of catch up in home ownership in England," IFS Working Papers W12/10, Institute for Fiscal Studies.

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    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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