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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

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