Empirical tests of stochastic binary choice models

Addison Pan*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper provides an experimental test of stochastic choice models of decisions. Models that admit Fechnerian structure are tested through the repeated pairwise choice problems. Results refute the Fechner hypothesis that characterizing the probability of selecting a given prospect increases in how strongly it is preferred to alternative choices. However, the experimental data lend support to characterizing an individual’s binary choice probability as some scalable functions of the von Neumann–Morgenstern utilities in the risky context.

Original languageEnglish
Pages (from-to)259-280
Number of pages22
JournalTheory and Decision
Volume93
Issue number2
DOIs
Publication statusPublished - Sept 2022

Keywords

  • Binary choice probability
  • Fechner model
  • Human-subjects laboratory experiment
  • Scalability
  • Strong stochastic transitivity

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