Noisy retrievers and the four-fold reaction to rare events
Davide Marchiori (),
Sibilla Di Guida () and
Ido Erev ()
Additional contact information
Davide Marchiori: Department of Management, Università Ca' Foscari Venezia
Sibilla Di Guida: SBS-EM, ECARES, Universite Libre de Bruxelles
Ido Erev: Faculty of Industrial Engineering and Management, Technion
No 3, Working Papers from Venice School of Management - Department of Management, Università Ca' Foscari Venezia
Abstract:
Previous research documents two pairs of inconsistent reactions to rare events: 1) Studies of probability judgment reveal conservatism which implies overestimation of rare events, and overconfidence which implies underestimation of rare events. 2) Studies of choice behavior reveal overweighting of rare events in one-shot tasks, and the opposite bias in decisions from experience. The current analysis and experimental results demonstrate that the coexistence and relative importance of the four biases can be captured with simple models that share the assumption that judgments and decisions are made based on the information conveyed by small and noisy samples of past experiences.
Keywords: Black swan; prospect theory; experience-description gap; case-based decision theory; overgeneralization (search for similar items in EconPapers)
JEL-codes: C79 C91 D81 (search for similar items in EconPapers)
Pages: 36 pages
Date: 2013-04
New Economics Papers: this item is included in nep-cbe, nep-dcm and nep-upt
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://virgo.unive.it/wpideas/storage/2013wp3.pdf First version, 2013 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 500 Can't connect to virgo.unive.it:80 (A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond.)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:vnm:wpdman:39
Access Statistics for this paper
More papers in Working Papers from Venice School of Management - Department of Management, Università Ca' Foscari Venezia Contact information at EDIRC.
Bibliographic data for series maintained by Daria Arkhipova ().