Americans favor predistributive over redistributive economic policies.

Authors

David Broska, Jonne Kamphorst, Robb Willer

Published in

Proceedings of the National Academy of Sciences of the United States of America. Volume 123. Issue 33. Pages e2617191123. Aug 18, 2026. Epub Aug 10, 2026.

Abstract

Redistributive policies designed to reduce economic inequality through taxes and transfers (e.g., safety-net benefits funded by progressive taxation) receive less support in the United States than in many Western democracies. Recent work suggests Americans may be more receptive to "predistributive" policies, which seek to reduce economic inequality before taxes and transfers (e.g., minimum-wage increases). Yet existing evidence leaves open whether this support gap characterizes contemporary Americans overall, and whether it persists when the same policy proposals are described in predistributive vs. redistributive terms, with their core provisions held constant. Across 31 national U.S. survey waves from 2015 to 2024 (total [Formula: see text]), we find greater support for policies classified as predistributive than redistributive. We then fielded a preregistered experiment with a national U.S. sample ([Formula: see text]), randomly varying whether otherwise identical policy proposals were described as increasing earnings for people lower in the income distribution, shifting resources from higher- to lower-income individuals, or presented only with the policy description given in all conditions. Support was higher under predistributive than redistributive descriptions. Comparison with the control condition clarifies this difference: Predistributive descriptions received support comparable to control, whereas redistributive descriptions received lower support. Exploratory analyses suggest perceived respect for hard work and beneficiary deservingness were associated with the support gap. Together, these results suggest Americans prefer policies that reduce inequality by influencing earnings more than through taxes and transfers.

PMID:
42574630
Bibliographic data and abstract were imported from PubMed on 11 Aug 2026.

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