Comparison of decisions under unknown experiments

Andrew Caplin, Daniel Martin

    Research output: Contribution to journalArticlepeer-review

    Abstract

    We take the perspective of an econometrician who wants to determine which of two experiments provides higher expected utility but only knows the decisions under each experiment. To compare these decisions, the econometrician must make inferences about what the experiment might have been for each set of decisions. We provide a necessary and sufficient condition that identifies when every experiment consistent with one set of decisions has a higher value of information than every experiment consistent with the other set of decisions.

    Original languageEnglish (US)
    JournalJournal of Political Economy
    DOIs
    StateAccepted/In press - 2021

    ASJC Scopus subject areas

    • Economics and Econometrics

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