ArXiv TLDR

An Axiomatic Foundation for Decisions with Counterfactual Utility

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2605.05521

Benedikt Koch, Kosuke Imai, Tomasz Strzalecki

econ.THcs.GTmath.ST

TLDR

This paper provides an axiomatic foundation for counterfactual utility, extending vNM theory to potential outcomes to ensure coherence and resolve paradoxes.

Key contributions

  • Extends the von Neumann-Morgenstern framework to preferences over all potential outcomes.
  • Shows expected counterfactual utility satisfies vNM axioms on this extended domain, ensuring coherence.
  • Reconciles inconsistencies like the Russian roulette example and resolves the Allais paradox.
  • Establishes an axiomatic foundation for additive counterfactual utilities, satisfying point identification.

Why it matters

This work addresses fundamental concerns about the coherence of counterfactual utilities, which are crucial for modeling decisions involving regret or harm avoidance. By providing a robust axiomatic foundation, it enables more accurate and consistent decision-making models in economics and statistics.

Original Abstract

Counterfactual utilities evaluate decisions not only by the realized outcome under a given decision, but also by the counterfactual outcomes that would arise under alternative decisions. By generalizing standard utility frameworks, they allow decision-makers to encode asymmetric criteria, such as avoiding harm and anticipating regret. Recent work, however, has raised fundamental concerns about the coherence and transitivity of counterfactual utilities. We address these concerns by extending the von Neumann-Morgenstern (vNM) framework to preferences defined on the extended space of all potential outcomes rather than realized outcomes alone. We show that expected counterfactual utility satisfies the vNM axioms on this extended domain, thereby admitting a coherent preference representation. We further examine how counterfactual preferences map onto the realized outcome space through menu-dependent and context-dependent projections. This axiomatic framework reconciles apparent inconsistencies highlighted by the Russian roulette example in the statistics literature and resolves the well-known Allais paradox from behavioral economics. We also derive an additional axiom required to reduce counterfactual utilities to standard utilities on the same potential outcome space, and establish an axiomatic foundation for additive counterfactual utilities, which satisfy a necessary and sufficient condition for point identification. Finally, we show that our results hold regardless of whether individual potential outcomes are deterministic or stochastic.

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