IDEAS home Printed from https://ideas.repec.org/a/eme/ijhmap/v2y2009i1p78-90.html
   My bibliography  Save this article

Price bubbles in housing markets

Author

Listed:
  • Hans Lind

Abstract

Purpose - The purpose of this paper is to clarify the concept of bubble, what it means to explain a bubble and propose a list of bubble indicators. Design/methodology/approach - The paper is based on a literature review and some philosophical ideas to derive conclusions for the problems studied. Findings - A price bubble should be defined only in relation to the development of prices: a dramatic increase immediately followed by a dramatic fall. The traditional definition in terms of prices not determined by fundamentals is problematic primarily because the concept “fundamentals” is vague. A bubble can never be explained by a single factor, but is the result of the interaction of a number of factors. The explanatory factors proposed are used to derive a set of indicators working as warning signals whether a dramatic increase in prices will be followed by a dramatic fall. The list developed covers, for example, interest costs in relation to household incomes, the elasticity of supply, price expectations and credit conditions. Research limitations/implications - Both the explanatory framework and the list of indicators should be seen as preliminary and the starting point for further development through empirical testing. Practical implications - A developed list of bubble indicators could be useful for a number of actors, e.g. banks and authorities responsible for monitoring financial stability. Originality/value - The contribution is a clearer and more useful concept of bubble, a clearer separation of the question whether bubbles exist and how they should be explained. The proposed list of indicators goes far beyond earlier indicators.

Suggested Citation

  • Hans Lind, 2009. "Price bubbles in housing markets," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 2(1), pages 78-90, March.
  • Handle: RePEc:eme:ijhmap:v:2:y:2009:i:1:p:78-90
    DOI: 10.1108/17538270910939574
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/17538270910939574/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/17538270910939574/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/17538270910939574?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Breitenfellner, Andreas & Crespo Cuaresma, Jesús & Mayer, Philipp, 2015. "Energy inflation and house price corrections," Energy Economics, Elsevier, vol. 48(C), pages 109-116.
    2. Bricongne, Jean-Charles & Meunier, Baptiste & Pouget, Sylvain, 2023. "Web-scraping housing prices in real-time: The Covid-19 crisis in the UK," Journal of Housing Economics, Elsevier, vol. 59(PB).
    3. Khan, Khalid & Derindere Köseoğlu, Sinem, 2020. "Is palladium price in bubble?," Resources Policy, Elsevier, vol. 68(C).
    4. Czerniak, Adam & Borowski, Jakub & Boratyński, Jakub & Rosati, Dariusz, 2020. "Asset price bubbles in a monetary union: Mind the convergence gap," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 288-302.
    5. Fong Kean Yan & Yap Lya Keng & Kwek Kien Teng, 2016. "Empirical Analysis of House Price Bubble: A Case Study on Malaysia," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(12), pages 127-127, November.
    6. Sofoklis Vogiazas & Constantinos Alexiou, 2017. "Determinants of Housing Prices and Bubble Detection: Evidence from Seven Advanced Economies," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 45(1), pages 119-131, March.
    7. Wahab, Bashir A. & Adewuyi, Adeolu O., 2021. "Analysis of major properties of metal prices using new methods: Structural breaks, non-linearity, stationarity and bubbles," Resources Policy, Elsevier, vol. 74(C).
    8. Janusz Sobieraj & Dominik Metelski, 2021. "Testing Housing Markets for Episodes of Exuberance: Evidence from Different Polish Cities," JRFM, MDPI, vol. 14(9), pages 1-29, September.
    9. Bell, Adrian R. & Brooks, Chris & Killick, Helen, 2022. "The first real estate bubble? Land prices and rents in medieval England c. 1300–1500," Research in International Business and Finance, Elsevier, vol. 62(C).
    10. Are Oust & Ole Martin Eidjord, 2020. "Can Google Search Data be Used as a Housing Bubble Indicator?," International Real Estate Review, Global Social Science Institute, vol. 23(2), pages 267-308.
    11. Khan, Khalid & Su, Chi-Wei & Umar, Muhammad & Yue, Xiao-Guang, 2021. "Do crude oil price bubbles occur?," Resources Policy, Elsevier, vol. 71(C).
    12. Khan, Khalid & Su, Chi-Wei & Rehman, Ashfaq U., 2021. "Do multiple bubbles exist in coal price?," Resources Policy, Elsevier, vol. 73(C).
    13. Khalid Khan & Chi-Wei Su & Adnan Khurshid & Muhammad Umar, 2022. "Are there bubbles in the vanilla price?," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-16, December.
    14. Wei, Yigang & Li, Yan & Wang, Zhicheng, 2022. "Multiple price bubbles in global major emission trading schemes: Evidence from European Union, New Zealand, South Korea and China," Energy Economics, Elsevier, vol. 113(C).
    15. Khan, Khalid & Su, Chi Wei & Khurshid, Adnan, 2022. "Do booms and busts identify bubbles in energy prices?," Resources Policy, Elsevier, vol. 76(C).
    16. Kurmaş Akdoğan, 2019. "Size and sign asymmetries in house price adjustments," Applied Economics, Taylor & Francis Journals, vol. 51(48), pages 5268-5281, October.
    17. Are Oust & Ole Martin Eidjord, 2020. "Can Google Search Data be Used as a Housing Bubble Indicator?," International Real Estate Review, Asian Real Estate Society, vol. 23(2), pages 893-934.
    18. Gunnar Blomé, 2011. "The return of the Swedish slumlord: Analysis of a recent case," ERES eres2011_65, European Real Estate Society (ERES).
    19. Are Oust & Eidjord Ole Martin, 2018. "Can Google Search Data be Used as a Housing Bubble Indicator?," ERES eres2018_151, European Real Estate Society (ERES).

    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:eme:ijhmap:v:2:y:2009:i:1:p:78-90. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Emerald Support (email available below). General contact details of provider: .

    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.