IDEAS home Printed from https://ideas.repec.org/a/beh/jbepv1/v8y2024i1p39-46.html
   My bibliography  Save this article

Does Life Satisfaction predict Economic Preferences? Evidence from cross-sectional data

Author

Listed:
  • Donato Pierno

    (Department of Economics and Finance, Tor Vergata University of Rome, Rome, Italy)

Abstract

This paper investigates the effect of subjective well-being (SWB) on economic preferences by employing the Gallup World Poll and Global Preference Survey. First, by means of the LASSO "Least Absolute Shrinkage and Selection Operator," a regularized regression model, this paper presents evidence that life satisfaction is selected as an explanatory variable for patience, risk, negative reciprocity, altruism, and trust. Second, in order to assess the magnitude and statistical significance along with robust clustered standard errors, this study performs a variable selection process with a post-double-selection approach. The estimated coefficients are statistically significant, with a positive coefficient for patience and risk-taking, a positive and increasing effect exerted by SWB on altruistic behavior and negative reciprocity, and finally, a negative effect observed with respect to trust.

Suggested Citation

  • Donato Pierno, 2024. "Does Life Satisfaction predict Economic Preferences? Evidence from cross-sectional data," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 8(1), pages 39-46, December.
  • Handle: RePEc:beh:jbepv1:v:8:y:2024:i:1:p:39-46
    as

    Download full text from publisher

    File URL: http://sabeconomics.org/journal/RePEc/beh/JBEPv1/articles/JBEP-8-1-4.pdf
    Download Restriction: no
    ---><---

    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:beh:jbepv1:v:8:y:2024:i:1:p:39-46. 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: SABE (email available below). General contact details of provider: https://edirc.repec.org/data/sabeeea.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.