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Decision Rules in Choice Under Risk

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  • Avner Seror

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

Abstract

We study choice among lotteries in which the decision maker chooses from a small library of decision rules. At each menu, the applied rule must make the realized choice a strict improvement under a dominance benchmark on perceived lotteries. We characterize the maximal Herfindahl-Hirschman concentration of rule shares over all locally admissible assignments, and diagnostics that distinguish rules that unify behavior across many menus from rules that mainly act as substitutes. We provide a MIQP formulation, a scalable heuristic, and a finite-sample permutation test of excess concentration relative to a menu-independent random-choice benchmark. Applied to the CPC18 dataset (N= 686 subjects, each making 500-700 repeated binary lottery choices), the mean rule concentration is 0.545, and 64.1% of subjects show excess rule concentration, rejecting menu-independent random choice at the 1% level. Concentration gains are primarily driven by modal-payoff focusing, salience-thinking, and regret-based comparisons.

Suggested Citation

  • Avner Seror, 2026. "Decision Rules in Choice Under Risk," Working Papers hal-05483011, HAL.
    • Handle: RePEc:hal:wpaper:hal-05483011
    Note: View the original document on HAL open archive server: https://hal.science/hal-05483011v1
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