Academic Journal

Source Theory: A Tractable and Positive Ambiguity Theory

Bibliographic Details
Title: Source Theory: A Tractable and Positive Ambiguity Theory
Authors: Aurélien Baillon, Han Bleichrodt, Chen Li, Peter P. Wakker
Contributors: Universidad de Alicante. Departamento de Fundamentos del Análisis Económico, Microeconomía Aplicada (GIMA), business school, emlyon, EMLyon Business School (EM), Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne (GATE Lyon Saint-Étienne), Université Lumière - Lyon 2 (UL2)-Université Jean Monnet - Saint-Étienne (UJM)-EMLyon Business School (EM)-Centre National de la Recherche Scientifique (CNRS), Universidad de Alicante, Erasmus University Rotterdam
Source: RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Publisher Information: Institute for Operations Research and the Management Sciences (INFORMS), 2025.
Publication Year: 2025
Subject Terms: ambiguity aversion, Subjective beliefs, Ambiguity aversion, [SHS.GESTION]Humanities and Social Sciences/Business administration, subjective beliefs, Ellsberg paradox, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, [SHS.GESTION] Humanities and Social Sciences/Business administration, Source of uncertainty, source of uncertainty
Description: This paper introduces source theory, a new theory for decision under ambiguity (unknown probabilities). It shows how Savage’s subjective probabilities, with source-dependent nonlinear weighting functions, can model Ellsberg’s ambiguity. It can do so in Savage’s framework of state-contingent assets, permits nonexpected utility for risk, and avoids multistage complications. It is tractable, shows ambiguity attitudes through simple graphs, is empirically realistic, and can be used prescriptively. We provide a new tool to analyze weighting functions: pmatchers. They give Arrow–Pratt-like transformations but operate “within” rather than “outside” functions. We further show that ambiguity perception and inverse S probability weighting, seemingly unrelated concepts, are two sides of the same “insensitivity” coin. This paper was accepted by Manel Baucells, behavioral economics and decision analysis. Funding: H. Bleichrodt acknowledges financial support from the Spanish Ministry of Science, Innovation and Universities [Project PID2022-142356NB-I00 financed by Grant MICIU/AEI/10.13039/501100011033 and by FEDER] and from the Consellería de Innovación Universidades, Ciencia y Sociedad Digital de la Generalitat Valenciana [Grant Prometeo/2021/073]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/mnsc.2023.03307 .
Document Type: Article
File Description: application/pdf
Language: English
ISSN: 1526-5501
0025-1909
DOI: 10.1287/mnsc.2023.03307
Access URL: http://hdl.handle.net/10045/152192
https://pure.eur.nl/en/publications/2a7d75f4-98cb-4401-b25e-7ede00185220
https://doi.org/10.1287/mnsc.2023.03307
https://hal.science/hal-04964898v1/document
https://hal.science/hal-04964898v1
https://doi.org/10.1287/mnsc.2023.03307
Rights: CC BY NC ND
Accession Number: edsair.doi.dedup.....becdd3a5b9abdccd95ab0d82085fbdee
Database: OpenAIRE
Description
ISSN:15265501
00251909
DOI:10.1287/mnsc.2023.03307