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.
English
Multiarmed bandits; optimal taxation; social welfare; adversarial learning;
Settore INFO-01/A - Informatica
Articolo
Esperti anonimi
Ricerca di base
Pubblicazione scientifica
   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
Wiley Blackwell Publishing
93
3
1073
1104
32
Pubblicato
Periodico con rilevanza internazionale
https://www.econometricsociety.org/publications/econometrica/2025/05/01/Adaptive-Maximization-of-Social-Welfare
  
DSRC - Data science research center
bibtex
Aderisco
info:eu-repo/semantics/article
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]
open
Prodotti della ricerca::01 - Articolo su periodico
3
262
Article (author)
Periodico con Impact Factor
N. Cesa Bianchi, R. Colomboni, M. Kasy
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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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