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Hybrid decision model and the ranking of experiments

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  • Karni, Edi
  • Safra, Zvi

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.

Suggested Citation

  • Karni, Edi & Safra, Zvi, 2022. "Hybrid decision model and the ranking of experiments," Journal of Mathematical Economics, Elsevier, vol. 101(C).
    • Handle: RePEc:eee:mateco:v:101:y:2022:i:c:s0304406822000489
    DOI: 10.1016/j.jmateco.2022.102700
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    References listed on IDEAS

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    Cited by:

    1. Mark Whitmeyer, 2023. "Bayes = Blackwell, Almost," Papers 2302.13956, arXiv.org, revised Oct 2023.

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