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Stochastic dominance under Bayesian learning

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  • Bikhchandani, Sushil
  • Segal, Uzi
  • Sharma, Sunil

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  • Bikhchandani, Sushil & Segal, Uzi & Sharma, Sunil, 1992. "Stochastic dominance under Bayesian learning," Journal of Economic Theory, Elsevier, vol. 56(2), pages 352-377, April.
    • Handle: RePEc:eee:jetheo:v:56:y:1992:i:2:p:352-377
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    References listed on IDEAS

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    1. Keller, L Robin, 1985. "Testing of the 'reduction of compound alternatives' principle," Omega, Elsevier, vol. 13(4), pages 349-358.
    2. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    3. Bikhchandani, Sushil & Segal, Uzi & Sharma, Sunil, 1992. "Stochastic dominance under Bayesian learning," Journal of Economic Theory, Elsevier, vol. 56(2), pages 352-377, April.
    4. Bikhchandani, Sushil & Sharma, Sunil, 1996. "Optimal search with learning," Journal of Economic Dynamics and Control, Elsevier, vol. 20(1-3), pages 333-359.
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    Cited by:

    1. Bikhchandani, Sushil & Sharma, Sunil, 1996. "Optimal search with learning," Journal of Economic Dynamics and Control, Elsevier, vol. 20(1-3), pages 333-359.
    2. Thierry Magnac & Jean-Marc Robin, 1999. "Dynamic stochastic dominance in bandit decision problems," Theory and Decision, Springer, vol. 47(3), pages 267-295, December.
    3. Alfred Müller & Marco Scarsini, 2002. "Even Risk-Averters may Love Risk," Theory and Decision, Springer, vol. 52(1), pages 81-99, February.
    4. Bikhchandani, Sushil & Segal, Uzi & Sharma, Sunil, 1992. "Stochastic dominance under Bayesian learning," Journal of Economic Theory, Elsevier, vol. 56(2), pages 352-377, April.
    5. Dye, Ronald A. & Sridhar, Sri S., 2008. "A positive theory of flexibility in accounting standards," Journal of Accounting and Economics, Elsevier, vol. 46(2-3), pages 312-333, December.

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