IDEAS home Printed from https://ideas.repec.org/p/imk/wpaper/216-2022.html
   My bibliography  Save this paper

Homeowners' financial vulnerability over the house price cycle

Author

Listed:
  • Ruben Tarne

    (University of Groningen)

Abstract

This paper investigates the dynamics of financial vulnerability of indebted homeowners over the housing cycle with an agent-based housing market model. The model is calibrated using UK micro data. I find that financial vulnerability is driven by previous period house purchases and by dissaving due to a wealth effect on consumption. While the first channel is more important in the upswing, the dissaving channel is more important at high price levels. A second finding is that current vulnerability is path-dependent on past purchases at high prices, as due to the wealth effect, these past purchases lead to temporary high consumption.

Suggested Citation

  • Ruben Tarne, 2022. "Homeowners' financial vulnerability over the house price cycle," IMK Working Paper 216-2022, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
  • Handle: RePEc:imk:wpaper:216-2022
    as

    Download full text from publisher

    File URL: http://www.boeckler.de/pdf/p_imk_wp_216_2022.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Ruben Tarne & Dirk Bezemer, 2023. "ousing affordability in a monetary economy: an agent-based model of the Dutch housing market," IMK Working Paper 222-2023, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    2. Mérő, Bence & Borsos, András & Hosszú, Zsuzsanna & Oláh, Zsolt & Vágó, Nikolett, 2023. "A high-resolution, data-driven agent-based model of the housing market," Journal of Economic Dynamics and Control, Elsevier, vol. 155(C).

    More about this item

    JEL classification:

    • G51 - Financial Economics - - Household Finance - - - Household Savings, Borrowing, Debt, and Wealth
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

    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:imk:wpaper:216-2022. 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: Sabine Nemitz (email available below). General contact details of provider: https://edirc.repec.org/data/imkhbde.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.