IDEAS home Printed from https://ideas.repec.org/p/eec/wpaper/2309.html
   My bibliography  Save this paper

How do consumers react to unanticipated wealth effects: evidence from Spain

Author

Listed:
  • Antonio Cutanda

    (Universidad de Valencia, Valencia, Spain. ORCID number: 0000-0003-2066-4632)

  • Juan A. Juan A. Sanchis-Llopis

    (Universidad de Valencia and ERICES, Valencia, Spain. ORCID number: 0000-0001-9664-4668)

Abstract

In this paper we estimate the housing wealth effect on non-durable consumption using data from the Spanish Survey on Household Finances (Encuesta Financiera de las Familias, SHF), for the period 2002-2017. We aim at identifying the effect of anticipated and unanticipated housing wealth changes on consumption with the sample of homeowners, following Jappelli and Pistaferri (2017). Our results lead us to conclude that there exists a strong housing wealth effect on consumption for the Spanish households. This provides evidence against the permanent income model. Further, we detect a high excess sensitivity of consumption to income reinforcing the above conclusion. Finally, by adding the mortgage growth rate to the estimated equation, we do not detect evidence that the Spanish data support the collateral channel hypothesis.

Suggested Citation

  • Antonio Cutanda & Juan A. Juan A. Sanchis-Llopis, 2023. "How do consumers react to unanticipated wealth effects: evidence from Spain," Working Papers 2309, Department of Applied Economics II, Universidad de Valencia.
  • Handle: RePEc:eec:wpaper:2309
    as

    Download full text from publisher

    File URL: http://repecsrv.uv.es/paper/RePEc/pdf/eec_2309.pdf
    File Function: First version, 2309
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Wealth effect on consumption; Subjective expectations; Collateral channel hypothesis; Instrumental variables; Panel data.;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D15 - Microeconomics - - Household Behavior - - - Intertemporal Household Choice; Life Cycle Models and Saving
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth

    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:eec:wpaper:2309. 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: Vicente Esteve (email available below). General contact details of provider: https://edirc.repec.org/data/dsvales.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.