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Learning the Krepsian State: Exploration Through Consumption

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  • Roee Teper

Abstract

We take the Krepsian approach to provide a behavioral foundation for a class of responsive subjective learning processes. In contrast to the standard subjective state spacemodels, the resolution of uncertainty regarding the true state is an endogenous process that depends on the decision maker's actions. In addition, there need not be fullresolution of uncertainty between periods. When the decision maker chooses what to consume, she also chooses the information structure to which she will be exposed. When sheconsumes outcomes, she learns her relative preference between them; after each consumption history, the decision maker's information structure is a re nement of the previousinformation structure. We provide the behavioral restrictions corresponding to an innite horizon, recursive representation that exhibits such a learning process. Moreover,through the incorporation of dynamics we are able to identify the set of preferences thedecision maker believes possible after each history of consumption. That is, we identifythe unique subjective state space without appealing to an environment with risk

Suggested Citation

  • Roee Teper, 2016. "Learning the Krepsian State: Exploration Through Consumption," Working Paper 5860, Department of Economics, University of Pittsburgh.
  • Handle: RePEc:pit:wpaper:5860
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    References listed on IDEAS

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    Cited by:

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    2. Mira Frick & Ryota Iijima & Tomasz Strzalecki, 2019. "Dynamic Random Utility," Econometrica, Econometric Society, vol. 87(6), pages 1941-2002, November.
    3. João V Ferreira & Nicolas Gravel, 2017. "Choice with Time," Working Papers halshs-01577260, HAL.
    4. Marek Kapera, 2022. "Learning own preferences through consumption," KAE Working Papers 2022-074, Warsaw School of Economics, Collegium of Economic Analysis.
    5. Piermont, Evan, 2017. "Introspective unawareness and observable choice," Games and Economic Behavior, Elsevier, vol. 106(C), pages 134-152.
    6. Yosuke Hashidate, 2018. "Preferences for Randomization and Anticipated Utility," CIRJE F-Series CIRJE-F-1083, CIRJE, Faculty of Economics, University of Tokyo.
    7. Jason Delaney & Sarah Jacobson & Thorsten Moenig, 2020. "Preference discovery," Experimental Economics, Springer;Economic Science Association, vol. 23(3), pages 694-715, September.
    8. Marek Kapera, 2024. "Learning, experimentation and the convergence of the discovered preferences," KAE Working Papers 2024-098, Warsaw School of Economics, Collegium of Economic Analysis.
    9. Krishna, R. Vijay & Sadowski, Philipp, 2021. "Randomly evolving tastes and delayed commitment," Journal of Mathematical Economics, Elsevier, vol. 92(C), pages 81-94.

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