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A Non-Bayesian Approach to (Un)Bounded Rationality

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Author Info
Werner Güth () (Max Planck Institute of Economics, Strategic Interaction Group)
Abstract

Can one define and test the hypothesis of (un)bounded rationality in stochastic choice tasks without endorsing Bayesianism? Similar to the state specificity of assets, we rely on state-specific goal formation. In a given choice task, the list of state-specific goal levels is optimal if one cannot increase the goal level for one state without having to decrease that for other states. We show that this allows to relate optimality more easily to bounded rationality where we interpret goal levels as aspirations. If for the latter there exist choices satisfying all state-specific aspirations and if one such choice is used, we speak of satisficing which may or may not be optimal.

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Paper provided by Friedrich-Schiller-University Jena, Max-Planck-Institute of Economics, Thueringer Universitaets- und Landesbibliothek in its series Jena Economic Research Papers with number 2007-035.

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Date of creation: 06 Jul 2007
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Handle: RePEc:jrp:jrpwrp:2007-035

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Related research
Keywords: Satisficing bounded rationality optimality

Find related papers by JEL classification:
B4 - Schools of Economic Thought and Methodology - - Economic Methodology
D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
D10 - Microeconomics - - Household Behavior - - - General

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  1. Siegfried Berninghaus & Werner Güth & M. Vittoria Levati & Jianying Qiu, 2006. "Satisficing in sales competition: experimental evidence," Discussion Papers on Strategic Interaction 2006-32, Max Planck Institute of Economics, Strategic Interaction Group. [Downloadable!]
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