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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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    1. Thomas Lindh & Bo Malmberg, 2008. "Demography and housing demand—what can we learn from residential construction data?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 21(3), pages 521-539, July.
    2. 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.
    3. Verbeek, Marno & Nijman, Theo, 1992. "Can Cohort Data Be Treated as Genuine Panel Data?," Empirical Economics, Springer, vol. 17(1), pages 9-23.
    4. Modigliani, Franco, 1986. "Life Cycle, Individual Thrift, and the Wealth of Nations," American Economic Review, American Economic Association, vol. 76(3), pages 297-313, June.
    5. Chiuri, Maria Concetta & Jappelli, Tullio, 2003. "Financial market imperfections and home ownership: A comparative study," European Economic Review, Elsevier, vol. 47(5), pages 857-875, October.
    6. Marcos D. Chamon & Eswar S. Prasad, 2010. "Why Are Saving Rates of Urban Households in China Rising?," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 93-130, January.
    7. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    8. Angus Deaton & Christina Paxson, 2000. "Growth and Saving Among Individuals and Households," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 212-225, May.
    9. Seyit Mümin CİLASUN & Murat Güray KIRDAR, 2013. "Household Structure and Household Income and its Components over the Life-Cycle in Turkey," Iktisat Isletme ve Finans, Bilgesel Yayincilik, vol. 28(328), pages 89-116.
    10. Evren Ceritoglu & Okan Eren, 2014. "The Effects of Demographic and Social Changes on Household Savings in Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 14(3), pages 15-33.
    11. Viola Angelini & Agar Brugiavini & Guglielmo Weber, 2014. "The dynamics of homeownership among the 50+ in Europe," Journal of Population Economics, Springer;European Society for Population Economics, vol. 27(3), pages 797-823, July.
    12. László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1, July-Dece.
    13. James Banks & Richard Blundell & Agar Brugiavini, 2001. "Risk Pooling, Precautionary Saving and Consumption Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(4), pages 757-779.
    14. Alik-Lagrange, Arthur & Schmidt, Tobias, 2015. "The pattern of home ownership across cohorts and its impact on the net wealth distribution: Empirical evidence from Germany and the US," Discussion Papers 11/2015, Deutsche Bundesbank.
    15. Mankiw, N. Gregory & Weil, David N., 1989. "The baby boom, the baby bust, and the housing market," Regional Science and Urban Economics, Elsevier, vol. 19(2), pages 235-258, May.
    16. Ray Forrest & James Lee, 2004. "Cohort Effects, Differential Accumulation and Hong Kong's Volatile Housing Market," Urban Studies, Urban Studies Journal Limited, vol. 41(11), pages 2181-2196, October.
    17. Browning, Martin & Deaton, Angus & Irish, Margaret, 1985. "A Profitable Approach to Labor Supply and Commodity Demands over the Life-Cycle," Econometrica, Econometric Society, vol. 53(3), pages 503-543, May.
    18. Cengiz Tunc & Abdullah Yavas, 2016. "Not all credit is created equal : Mortgage vs non-mortgage debt and private saving rate in Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 16(1), pages 25-32.
    19. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Can cohort data be treated as genuine panel data?," Other publications TiSEM d4eada8f-b91c-4fe7-a58c-7, Tilburg University, School of Economics and Management.
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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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