Race and Redistribution in the United States: An Experimental Analysis

20.500.12592/wtr2vd

Race and Redistribution in the United States: An Experimental Analysis

1 Sep 2022

Scholars have suggested that White American support for welfare is related to beliefs about the racial composition of welfare recipients. While a host of observational studies lend credence to this view, it has not yet been tested using the tools of randomized inference. In this study, we do this by conducting two incentive-compatible experiments (n = 9,775) in which different participants are randomly given different signals about the share of welfare recipients who identify as Black and White. Our analysis yields four main findings. First, 86% of respondents greatly overestimate the share of welfare recipients who are Black, with the average respondent overestimating this by almost a factor of two. Second, White support for welfare is inversely related to the proportion of welfare recipients who are Black—a causal claim that we establish using treatment assignment as an instrument for beliefs about the racial composition of welfare recipients. Third, just making White participants think about the racial composition of welfare recipients reduces their support for welfare. Fourth, providing White respondents with accurate information about the racial composition of welfare recipients (relative to not receiving any information) does not significantly influence their support for welfare.
political economy econometrics experimental design microeconomics public economics behavioral economics

Authors

Jesper Akesson, Robert W. Hahn, Robert D. Metcalfe, Itzhak Rasooly

Acknowledgements & Disclosure
We would like to thank Filippo Muzi-Falconi for excellent research assistance, and Alice Huguet, Jonathan Libgober, Matt Kahn, Paulina Oliva, Ivuoma Onyeador, Eleonora Patacchini, Johannes Wohlfart, and the audience at the Becker Friedman Institute Conference on Discrimination in the 21st Century for valuable comments. University of Oxford IRB: SOGE1A2020-185; AEA registry number AEARCTR-0008453. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.
DOI
https://doi.org/10.3386/w30426
Published in
United States of America

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