Hybrid decision model and the ranking of experiments

Edi Karni*, Zvi Safra

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Departing from the reduction of compound lotteries axiom on multi-stage lotteries, this paper proposes a new hybrid model to analyze decision trees. Applied to multi-stage decision trees induced by experiments, Blackwell's (1953) definition of the relation “more informative” on the set of information structures is equivalent to experiments being more valuable to a class of non-expected utility preferences. This result extends Blackwell's theorem and provides new insights regarding the evaluation of information produced by experiments.

Original languageEnglish
Article number102700
JournalJournal of Mathematical Economics
Volume101
DOIs
StatePublished - Aug 2022
Externally publishedYes

Keywords

  • Blackwell's theorem
  • Comparison of experiments
  • Hybrid decision analysis
  • Reduction of compound lotteries
  • Value of information

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