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Ranking Policies Under Loss Aversion and Inequality Aversion

Martyna Kobus, Radosław Kurek, Thomas Parker

arXiv 10 Oct 2025 · Theoretical Economics

arXiv:2510.09590 · PDF · DOI · OpenAlex · Extracted main text

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.

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68
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111
in-text mentions
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distinct cited
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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Sergio Firpo, Antonio F. Galvao, Martyna Kobus, Thomas Parker, and P… (2024) Loss aversion and the welfare ranking of policy interventions self0.92810580%
2Botond Koszegi and Matthew Rabin (2006) A model of reference-dependent preference0.87472100%
3Zheng Fang and Andres Santos (2019) Inference on directionally differentiable functions0.8435360%
4Amos Tversky and Daniel Kahneman (1991) Loss aversion in riskless choice: A reference-dependent model0.84333100%
5Marianne P. Bitler, Jonah B. Gelbach, and Hilary W. Hoynes (2006) What mean impacts miss: Distributional effects of welfare reform experiments0.81142100%
6Louis Eeckhoudt, Béatrice Rey, and Harris Schlesinger (2007) A good sign for multivariate risk taking0.81142100%
7Oliver Linton, Esfandiar Maasoumi, and Yoon-Jae Whang (2005) Consistent testing for stochastic dominance under general sampling schemes0.73732100%
8Oliver Linton, Kyungchul Song, and Yoon-Jae Whang (2010) An improved bootstrap test of stochastic dominance0.73732100%
9Ted O'Donoghue and Charles Sprenger (2018) Reference-dependent preferences0.73732100%
10Haim Levy (2016) Stochastic Dominance: Investment Decision Making Under Uncertainty0.64422100%

Showing the top 10 of 68 scored citations.