IDEAS home Printed from https://ideas.repec.org/p/ifs/ifsewp/12-10.html
   My bibliography  Save this paper

Late starters or excluded generations? A cohort analysis of catch up in home ownership in England

Author

Listed:
  • Renata Bottazzi

    (Institute for Fiscal Studies and University of Bologna)

  • Thomas Crossley

    (Institute for Fiscal Studies and Institute for Fiscal Studies, University of Essex)

  • Matthew Wakefield

    (Institute for Fiscal Studies and University of Bologna)

Abstract

England has very volatile house prices. Using survey data spanning multiple house-price cycles over nearly forty years, we document the association between house prices and homeownership at age thirty. We then use synthetic cohort methods to assess whether differences in early ownership rates persist in later life. We find that ownership rates at age thirty have varied substantially, with a significant negative association with prices. Measurement error problems - attenuation and other biases - complicate an analysis of the persistence of these differences in ownership. We use two methods to deal with this. Both indicate that cohorts with low ownership rates at age thirty close about 80% of the ownership gap by age forty.

Suggested Citation

  • 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.
  • Handle: RePEc:ifs:ifsewp:12/10
    as

    Download full text from publisher

    File URL: http://www.ifs.org.uk/wps/wp1210.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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. Steven Bourassa & Martin Hoesli, 2010. "Why Do the Swiss Rent?," The Journal of Real Estate Finance and Economics, Springer, vol. 40(3), pages 286-309, April.
    3. 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.
    4. 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.
    5. Renata Bottazzi, 2004. "Labour market participation and mortgage related borrowing constraints," IFS Working Papers W04/09, Institute for Fiscal Studies.
    6. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    7. Renata Bottazzi & Hamish Low & Matthew Wakefield, 2007. "Why do home owners work longer hours?," IFS Working Papers W07/10, Institute for Fiscal Studies.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. James S. Cloyne & Paolo Surico, 2017. "Household Debt and the Dynamic Effects of Income Tax Changes," Review of Economic Studies, Oxford University Press, vol. 84(1), pages 45-81.

    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. R. Bottazzi & T. Crossley & M. Wakefield, 2011. "House Prices and Home Ownership: a Cohort Analysis," Working Papers wp790, Dipartimento Scienze Economiche, Universita' di Bologna.
    2. Rossi, Mariacristina & Trucchi, Serena, 2016. "Liquidity constraints and labor supply," European Economic Review, Elsevier, vol. 87(C), pages 176-193.
    3. 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.
    4. 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.
    5. Anna van der Schors & Rob J.M. Alessie & Mauro Mastrogiacomo, 2007. "Home and Mortgage Ownership of the Dutch Elderly: Explaining Cohort, Time and Age Effects," Social and Economic Dimensions of an Aging Population Research Papers 183, McMaster University.
    6. Serena Fatica & Doris Prammer, 2018. "Housing and the Tax System: How Large Are the Distortions in the Euro Area?," Fiscal Studies, John Wiley & Sons, vol. 39(2), pages 299-342, June.
    7. Börsch-Supan, Axel & Lusardi, Annamaria, 2002. "Saving Viewed from a Cross-National Perspective," Sonderforschungsbereich 504 Publications 02-47, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    8. Miriam Marcén & Marina Morales, 2020. "The effect of culture on home‐ownership," Journal of Regional Science, Wiley Blackwell, vol. 60(1), pages 56-87, January.
    9. Anna Schors & Rob Alessie & Mauro Mastrogiacomo, 2007. "Notes and Communications," De Economist, Springer, vol. 155(1), pages 99-121, March.
    10. Bütler, Monika & Stadelmann, Sabrina, 2020. "Building on a pension: Second pillar wealth as a way to finance real estate?," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    11. 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.
    12. Chunil Kim & Hyobi Choi & Yeol Choi, 2021. "Retirement Age and Housing Consumption: The Case of South Korea," Sustainability, MDPI, Open Access Journal, vol. 13(3), pages 1-21, January.
    13. 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.
    14. Niklas Gohl & Peter Haan & Claus Michelsen & Felix Weinhardt, 2019. "Deutschland: ein Land der Mieter? Die Rolle von Erwartungen über zukünftige Immobilienpreisentwicklungen [Germany, a country of renters? The role of price expectations]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 95-109, November.
    15. Mejia, Paula & Meléndez Arjona, Marcela, 2018. "Middle-Class Entrepreneurs and Social Mobility through Entrepreneurship in Colombia," IDB Publications (Working Papers) 4082, Inter-American Development Bank.
    16. Inmaculada García-Mainar & Víctor M. Montuenga-Gómez, 2017. "Subjective educational mismatch and signalling in Spain," Documentos de Trabajo dt2017-03, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    17. Mitchell, Olivia S. & Piggott, John, 2004. "Unlocking housing equity in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 18(4), pages 466-505, December.
    18. Stolbov, M., 2012. "Financial Accelerator Theory and the Russian Mortgage Market," Journal of the New Economic Association, New Economic Association, vol. 13(1), pages 79-98.
    19. Xuejun Wang & Aiting Shen & Zhiyong Chen & Shuhe Hu, 2015. "Complete convergence for weighted sums of NSD random variables and its application in the EV regression model," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 24(1), pages 166-184, March.
    20. Maïlys Korber, 2019. "Does Vocational Education Give a Labour Market Advantage over the Whole Career? A Comparison of the United Kingdom and Switzerland," Social Inclusion, Cogitatio Press, vol. 7(3), pages 202-223.

    More about this item

    Keywords

    Home ownership; synthetic cohort data; measurement error.;
    All these keywords.

    JEL classification:

    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

    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:ifs:ifsewp:12/10. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/ifsssuk.html .

    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: Emma Hyman (email available below). General contact details of provider: https://edirc.repec.org/data/ifsssuk.html .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.