EconPapers    
Economics at your fingertips  
 

Does Consistency Predict Accuracy of Beliefs?: Economists Surveyed About PSA

Nathan Berg, Guido Biele and Gerd Gigerenzer

MPRA Paper from University Library of Munich, Germany

Abstract: Subjective beliefs and behavior regarding the Prostate Specific Antigen (PSA) test for prostate cancer were surveyed among attendees of the 2006 meeting of the American Economic Association. Logical inconsistency was measured in percentage deviations from a restriction imposed by Bayes’ Rule on pairs of conditional beliefs. Economists with inconsistent beliefs tended to be more accurate than average, and consistent Bayesians were substantially less accurate. Within a loss function framework, we look for and cannot find evidence that inconsistent beliefs cause economic losses. Subjective beliefs about cancer risks do not predict PSA testing decisions, but social influences do.

Keywords: logical consistency; predictive accuracy; elicitation; non-Bayesian; ecological rationality (search for similar items in EconPapers)
JEL-codes: D03 D6 D8 (search for similar items in EconPapers)
Date: 2010-08-11
New Economics Papers: this item is included in nep-cbe, nep-evo, nep-for, nep-hpe and nep-mic
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/24976/1/MPRA_paper_24976.pdf original version (application/pdf)

Related works:
Working Paper: Does Consistency Predict Accuracy of Beliefs?: Economists Surveyed About PSA (2013) Downloads
Working Paper: Does consistency predict accuracy of beliefs?: Economists surveyed about PSA (2010) Downloads
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:pra:mprapa:24976

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2025-03-19
Handle: RePEc:pra:mprapa:24976