Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/62653 
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dc.contributor.authorde Clippely, Geoffroyen
dc.contributor.authorRozen, Kareenen
dc.date.accessioned2012-09-04-
dc.date.accessioned2012-09-17T11:31:50Z-
dc.date.available2012-09-17T11:31:50Z-
dc.date.issued2012-
dc.identifier.urihttp://hdl.handle.net/10419/62653-
dc.description.abstractTheories of bounded rationality are typically characterized over an exhaustive data set. This paper aims to operationalize some leading theories when the available data is limited, as is the case in most practical settings. How does one tell if observed choices are consistent with a theory of bounded rationality if the data is incomplete? What information can be identified about preferences? How can out-of-sample predictions be made? Our approach is contrasted with earlier attempts to examine bounded rationality theories on limited data, showing their notion of consistency is inappropriate for identifiability and out-of-sample prediction.en
dc.language.isoengen
dc.publisher|aBrown University, Department of Economics |cProvidence, RIen
dc.relation.ispartofseries|aWorking Paper |x2012-7en
dc.subject.ddc330en
dc.titleBounded rationality and limited datasets: Testable implications, identifiability, and out-of-sample prediction-
dc.typeWorking Paperen
dc.identifier.ppn723784310en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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