IDEAS home Printed from https://ideas.repec.org/p/clb/wpaper/202401.html
   My bibliography  Save this paper

Health Concerns And Consumption Expectations During Covid-19: Evidence From A Fuzzy Regression Discontinuity Design

Author

Listed:
  • Giuseppe Rose

    (Department of Economics, Statistics and Finance 'Giovanni Anania', University of Calabria, Rende (Italy))

  • Desiré De Luca

    (Department of Statistical Sciences “Paolo Fortunati”, University of Bologna, Italy)

Abstract

Using novel microdata from the Bank of Italy’s Special Survey of Italian Households, we study the determinants of consumption expectations during the Covid-19 pandemic. The dataset spans the period of August-September 2020 and contains quarterly observations of about 2,000 households. We apply a fuzzy regression discontinuity design to study the causal effects of fear of Covid-19 on consumption expectations exploiting the discontinuous relationship between age and the level of perceived fear to contract the virus. Results highlight that the impact of the pandemic outbreak on consumption expectations operates through health concerns related to households’ fear of contagion. This evidence provides a powerful tool to public policy in order to find functional strategies to stimulate aggregate demand during recessions generated by a pandemic. Appropriate policy instruments should be aimed at restoring consumer confidence and reducing the fear of contagion, strengthening the National Health Care System in order to provide effective and timely health services to enhance people’s mental health and well-being.

Suggested Citation

  • Giuseppe Rose & Desiré De Luca, 2024. "Health Concerns And Consumption Expectations During Covid-19: Evidence From A Fuzzy Regression Discontinuity Design," Working Papers 202401, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
  • Handle: RePEc:clb:wpaper:202401
    as

    Download full text from publisher

    File URL: http://www.ecostat.unical.it/RePEc/WorkingPapers/WP01_2024.pdf
    File Function: First version, 2024-02
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Consumption Expectations; Fear of Contagion; Covid-19 Pandemic; Case Fatality Rate; Fuzzy Regression Discontinuity Design; In¬strumental Variables;
    All these keywords.

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • D10 - Microeconomics - - Household Behavior - - - General

    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:clb:wpaper:202401. 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: Giovanni Dodero (email available below). General contact details of provider: https://edirc.repec.org/data/decalit.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.