IDEAS home Printed from https://ideas.repec.org/p/cxu/wpaper/59.html

Ranking Policies Under Loss Aversion and Inequality Aversion

Author

Listed:
  • Martyna Kobus
  • Radoslaw Kurek
  • Thomas Parker

Abstract

Strong empirical evidence from laboratory experiments, and more recently from population surveys, shows that individuals, when evaluating their situations, pay attention to whether they experience gains or losses, with losses weighing more heavily than gains. The electorate's loss aversion, in turn, influences politicians' choices. We propose a new framework for welfare analysis of policy outcomes that, in addition to the traditional focus on post-policy incomes, also accounts for individuals' gains and losses resulting from policies. We develop several bivariate stochastic dominance criteria for ranking policy outcomes that are sensitive to features of the joint distribution of individuals' income changes and absolute incomes. The main social objective assumes that individuals are loss averse with respect to income gains and losses, inequality averse with respect to absolute incomes, and hold varying preferences regarding the association between incomes and income changes. We translate these and other preferences into functional inequalities that can be tested using sample data. The concepts and methods are illustrated using data from an income support experiment conducted in Connecticut.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Martyna Kobus & Radoslaw Kurek & Thomas Parker, 2024. "Ranking Policies Under Loss Aversion and Inequality Aversion," Working Papers 59, Institute of Economics, Polish Academy of Sciences.
  • Handle: RePEc:cxu:wpaper:59
    as

    Download full text from publisher

    File URL: https://inepan.pl/wp-content/uploads/2025/10/Working-Papers-59-3.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

    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:cxu:wpaper:59. 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: Lukasz Pietak (email available below). General contact details of provider: https://edirc.repec.org/data/inpanpl.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.