IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-00754101.html
   My bibliography  Save this paper

Income distribution and well-being: what can we learn from subjective data?

Author

Listed:
  • Claudia Senik

    (DELTA - Département et Laboratoire d'Economie Théorique et Appliquée - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique, UP4 - Université Paris-Sorbonne)

Abstract

How does the income of others affect my own welfare? This survey of the empirical literature stresses the contribution of subjective data to the understanding of this issue, with an attempt to disentangle direct effects (preference interdependence) from indirect informational effects. It shows that perceived mobility is central to the link between other people's income and individual satisfaction, as it determines individual opportunities and risks. Agents also appreciate the egalitarian nature of mobility itself, so that individual welfare depends on dynamic inequality rather than static income distribution. These studies illustrate how subjective data can bring information on aspects of utility and social interactions that are beyond the scope of the method based on action-revealed preferences.

Suggested Citation

  • Claudia Senik, 2005. "Income distribution and well-being: what can we learn from subjective data?," Post-Print halshs-00754101, HAL.
    • Handle: RePEc:hal:journl:halshs-00754101
    DOI: 10.1111/j.0950-0804.2005.00238.x
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:hal:journl:halshs-00754101. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.