Real-time inequality

Thomas Blanchet, Léon Mouillet, Emmanuel Saez and Gabriel Zucman ()
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Thomas Blanchet: PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - 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 - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - ENPC - École nationale des ponts et chaussées - IP Paris - Institut Polytechnique de Paris
Léon Mouillet: PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - 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 - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - ENPC - École nationale des ponts et chaussées - IP Paris - Institut Polytechnique de Paris
Emmanuel Saez: UC Berkeley - University of California [Berkeley] - UC - University of California
Gabriel Zucman: UC Berkeley - University of California [Berkeley] - UC - University of California

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Abstract: This paper constructs monthly distributions of national income for the United States. We develop a methodology to disaggregate annual distributions and project monthly changes in a timely manner by combining high-frequency public data sources. This allows us to estimate growth by social groups as soon as quarterly macroeconomic growth numbers are released, and to track the distributional impacts of government policies during and in the aftermath of recessions in real time. We test and validate our methodology by implementing it retrospectively back to 1976. Estimates are available at https://realtimeinequality.org.

Date: 2026-08
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Published in Journal of Public Economics, 2026, 260, ⟨10.1016/j.jpubeco.2026.105701⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:pseptp:halshs-05845692

DOI: 10.1016/j.jpubeco.2026.105701

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