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A Note on Information Value Theory for Experiments Defined Extensive Form

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  • Jean-Pierre Ponssard

    (International Institute for Applied Systems Analysis, Laxenburg, Austria)

Abstract

An experiment is defined as a random variable which may take some posterior probability distributions according to a marginal probability. Elementary properties of this definition with respect to information value theory are derived as well as their practical implications.

Suggested Citation

  • Jean-Pierre Ponssard, 1975. "A Note on Information Value Theory for Experiments Defined Extensive Form," Management Science, INFORMS, vol. 22(4), pages 449-454, December.
    • Handle: RePEc:inm:ormnsc:v:22:y:1975:i:4:p:449-454
    DOI: 10.1287/mnsc.22.4.449
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    1. repec:hal:wpspec:info:hdl:2441/5nek1jrask8ija3jouajnob09e is not listed on IDEAS
    2. Rajiv D. Banker & Robert J. Kauffman, 2004. "50th Anniversary Article: The Evolution of Research on Information Systems: A Fiftieth-Year Survey of the Literature in Management Science," Management Science, INFORMS, vol. 50(3), pages 281-298, March.
    3. Eduardo Perez, 2017. "A Proof of Blackwell's Theorem," SciencePo Working papers hal-03393159, HAL.
    4. repec:hal:spmain:info:hdl:2441/5nek1jrask8ija3jouajnob09e is not listed on IDEAS
    5. Ayça Kaya & Kyungmin Kim, 2018. "Trading Dynamics with Private Buyer Signals in the Market for Lemons," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(4), pages 2318-2352.
    6. Marschak, Thomas & Shanthikumar, J. George & Zhou, Junjie, 2017. "Does more information-gathering effort raise or lower the average quantity produced?," Journal of Mathematical Economics, Elsevier, vol. 69(C), pages 104-117.
    7. Bielinska-Kwapisz, Agnieszka, 2003. "Sufficiency in Blackwell's theorem," Mathematical Social Sciences, Elsevier, vol. 46(1), pages 21-25, August.

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