A calibration theorem for risk-weighted expected utility theory

Abstract This paper establishes a calibration theorem for risk-weighted expected utility theory (REU). REU extends expected utility theory (EU) by introducing a risk function, which allows a decision-maker to weigh potential outcomes according to their respective risks when determining the instrumental value of an action. REU is intuitively appealing as it seems to resolve some of the classical challenges to EU, such as the Allais paradox and Rabin’s calibration result. Using only widely accepted and minimally controversial assumptions, I calibrate REU using Allais preferences and show that accommodating Allais preferences commits REU to questionable behaviors. Thus, REU resolves the Allais paradox only at the cost of becoming susceptible to a Rabin-style challenge (being calibratable). Compared to existing calibration results against REU, my approach relies on less demanding and more realistic assumptions.

Authors

Institutions

Publication Details

Journal
Philosophical Studies
Published
2026-04-27
DOI
https://doi.org/10.1007/s11098-026-02520-2
Primary Topic
Decision-Making and Behavioral Economics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A calibration theorem for risk-weighted expected utility theory

Boning Yu
Philosophical Studies
Decision-Making and Behavioral Economics
article

A calibration theorem for risk-weighted expected utility theory

Boning Yu
article en

Abstract

Abstract This paper establishes a calibration theorem for risk-weighted expected utility theory (REU). REU extends expected utility theory (EU) by introducing a risk function, which allows a decision-maker to weigh potential outcomes according to their respective risks when determining the instrumental value of an action. REU is intuitively appealing as it seems to resolve some of the classical challenges to EU, such as the Allais paradox and Rabin’s calibration result. Using only widely accepted and minimally controversial assumptions, I calibrate REU using Allais preferences and show that accommodating Allais preferences commits REU to questionable behaviors. Thus, REU resolves the Allais paradox only at the cost of becoming susceptible to a Rabin-style challenge (being calibratable). Compared to existing calibration results against REU, my approach relies on less demanding and more realistic assumptions.

Philosophical Studies
University of Maryland, College Park (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Decision-Making and Behavioral Economics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.