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Disentangling Age and Cohorts Effects on Home-Ownership and Housing Wealth in Turkey

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  • Evren Ceritoglu

Abstract

This paper analyses the role of age and cohort effects on home-ownership and housing wealth in Turkey. We utilize twelve consecutive waves of the Turkish Statistical Institute (TURKSTAT) Household Budget Surveys (HBS) from 2003 to 2014. We construct a pseudo-panel data set following Deaton (1985) using birth-year cohorts in which families are grouped into cohorts with respect to the birth year of their household heads. Empirical analysis shows that young cohorts are less likely to own their homes, but they are more likely to be in housing debt. Moreover, they are willing to invest in second homes as much as old cohorts. We estimate a Heckman two-step selection model to distinguish the contribution of quality growth on house prices, while the selection criterion is home-ownership. We regress weighted average of the natural logarithm of cohort home values on age and cohort dummy variables. We find that cohort effects on home values are significantly larger for young cohorts even after controlling for age effects and quality growth.

Suggested Citation

  • Evren Ceritoglu, 2017. "Disentangling Age and Cohorts Effects on Home-Ownership and Housing Wealth in Turkey," Working Papers 1706, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
  • Handle: RePEc:tcb:wpaper:1706
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    File URL: https://www.tcmb.gov.tr/wps/wcm/connect/EN/TCMB+EN/Main+Menu/Publications/Research/Working+Paperss/2017/17-06
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    More about this item

    Keywords

    Home-ownership; Housing wealth; Cohort effects; Pseudo-panel;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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