IDEAS home Printed from https://ideas.repec.org/p/tcb/wpaper/1706.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.tcmb.gov.tr/wps/wcm/connect/EN/TCMB+EN/Main+Menu/Publications/Research/Working+Paperss/2017/17-06
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Evren Ceritoglu, 2017. "The effect of house price changes on cohort consumption in Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 17(3), pages 1-99–110.
    2. Dang,Hai-Anh H. & Lanjouw,Peter F., 2013. "Measuring poverty dynamics with synthetic panels based on cross-sections," Policy Research Working Paper Series 6504, The World Bank.
    3. Evren Ceritoğlu, 2018. "Self-insurance and consumption risk-sharing between birth-year cohorts in Turkey," Review of Economics of the Household, Springer, vol. 16(4), pages 1085-1118, December.
    4. Rumman Khan, 2018. "Assessing cohort aggregation to minimise bias in pseudo-panels," Discussion Papers 2018-01, University of Nottingham, CREDIT.
    5. David Aristei & Luca Pieroni, 2010. "Habits, Complementarities and Heterogeneity in Alcohol and Tobacco Demand: A Multivariate Dynamic Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(4), pages 428-457, August.
    6. 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.
    7. Sarah Bridges & Simona Mateut, 2009. "Attitudes towards immigration in Europe," Working Papers 2009008, The University of Sheffield, Department of Economics, revised May 2009.
    8. Sumru Altug & Melih Can Firat, 2018. "Borrowing constraints and saving in Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 18(1), pages 1-11.
    9. D. Lederman & W.F. Maloney & J. Messina, 2011. "The Fall of Wage Flexibility," World Bank Publications - Reports 23575, The World Bank Group.
    10. Miguel Székely & Pamela Mendoza, 2017. "Patterns, Trends and Policy Implications of Private Spending on Skills Development in Mexico and the United States," IDB Publications (Working Papers) 98116, Inter-American Development Bank.
    11. Beatriz Muriel & Horacio Vera, 2015. "The Effects of Economic Growth on Earnings in Bolivia," Development Research Working Paper Series 08/2015, Institute for Advanced Development Studies.
    12. John K Gibson & Grant M Scobie, 2001. "Household Saving Behaviour in New Zealand: A Cohort Analysis," Treasury Working Paper Series 01/18, New Zealand Treasury.
    13. Paquet, Marie-France & Bolduc, Denis, 2004. "Le problème des données longitudinales incomplètes : une nouvelle approche," L'Actualité Economique, Société Canadienne de Science Economique, vol. 80(2), pages 341-361, Juin-Sept.
    14. Yancy Vaillant & Esteban Lafuente & Manoj Chandra Bayon, 2019. "Early internationalization patterns and export market persistence: a pseudo-panel data analysis," Small Business Economics, Springer, vol. 53(3), pages 669-686, October.
    15. Grant M Scobie & John K Gibson, 2003. "Household Saving Behaviour in New Zealand: Why do Cohorts Behave Differently?," Treasury Working Paper Series 03/32, New Zealand Treasury.
    16. Lavin, Felipe Vasquez & Bratti, Luna & Orrego, Sergio & Barrientos, Manuel, 2020. "Assessing the Use of Pseudo-panels to Estimate the Value of Statistical Life in Developing Countries," EfD Discussion Paper 20-20, Environment for Development, University of Gothenburg.
    17. Lucio Masserini & Caterina Liberati & Paolo Mariani, 2017. "Quality service in banking: a longitudinal approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(2), pages 509-523, March.
    18. Mairead Roiste & Apostolos Fasianos & Robert Kirkby & Fang Yao, 2021. "Are Housing Wealth Effects Asymmetric in Booms and Busts?," The Journal of Real Estate Finance and Economics, Springer, vol. 62(4), pages 578-628, May.
    19. Oguiza Tovar, Ainhoa, 2003. "Análisis descriptivo del desempleo en la CAPV (1993-1999)," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tcb:wpaper:1706. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sermet Pekin or Ilker Cakar or the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/tcmgvtr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.