A test of information aversion

The standard Bayesian model implies that information can never have a negative value. We put this implication to the proof. Our paper provides the first test of the value (positive or negative) of information under uncertainty. We show that the "Bayesian implication" stands in conflict wit...

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Bibliographic Details
Main Authors: Kops, Christopher (Author) , Pasichnichenko, Illia (Author)
Format: Book/Monograph Working Paper
Language:English
Published: Heidelberg University of Heidelberg, Department of Economics April 2020
Series:Discussion paper series / University of Heidelberg, Department of Economics no. 682
In: Discussion paper series (no. 682)

DOI:10.11588/heidok.00028244
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Online Access:Verlag, kostenfrei: http://archiv.ub.uni-heidelberg.de/volltextserver/28244/7/Kops_2020_dp682.pdf
Resolving-System, kostenfrei: https://doi.org/10.11588/heidok.00028244
Resolving-System, kostenfrei: http://hdl.handle.net/10419/235005
Resolving-System, kostenfrei, Volltext: https://nbn-resolving.org/urn:nbn:de:bsz:16-heidok-282444
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Author Notes:Christopher Kops and Illia Pasichnichenko
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A test of information aversion by Kops, Christopher (Author) , Pasichnichenko, Illia (Author) ,

Universität 2020-04-16

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