We consider the problem of repeatedly choosing policies to maximize social welfare. Welfare is a weighted sum of private utility and public revenue. Earlier outcomes inform later policies. Utility is not observed, but indirectly inferred. Response functions are learned through experimentation.

Adaptive Maximization of Social Welfare / N. Cesa Bianchi, R. Colomboni, M. Kasy. - In: ECONOMETRICA. - ISSN 0012-9682. - 93:3(2025), pp. 1073-1104. [10.3982/ECTA22351]

Adaptive Maximization of Social Welfare

N. Cesa Bianchi
Primo
;
R. Colomboni
Penultimo
;
2025

Abstract

We consider the problem of repeatedly choosing policies to maximize social welfare. Welfare is a weighted sum of private utility and public revenue. Earlier outcomes inform later policies. Utility is not observed, but indirectly inferred. Response functions are learned through experimentation.
Multiarmed bandits; optimal taxation; social welfare; adversarial learning;
Settore INFO-01/A - Informatica
   Learning in Markets and Society
   MINISTERO DELL'UNIVERSITA' E DELLA RICERCA
   2022EKNE5K_001

   European Lighthouse of AI for Sustainability (ELIAS)
   ELIAS
   EUROPEAN COMMISSION
   101120237
2025
https://www.econometricsociety.org/publications/econometrica/2025/05/01/Adaptive-Maximization-of-Social-Welfare
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1167935
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