Overconfidence in interval estimates: What does expertise buy you?
Craig R.M. McKenzie,
Michael J. Liersch and
Ilan Yaniv
Organizational Behavior and Human Decision Processes, 2008, vol. 107, issue 2, 179-191
Abstract:
People's 90% subjective confidence intervals typically contain the true value about 50% of the time, indicating extreme overconfidence. Previous results have been mixed regarding whether experts are as overconfident as novices. Experiment 1 examined interval estimates from information technology (IT) professionals and UC San Diego (UCSD) students about both the IT industry and UCSD. This within-subjects experiment showed that experts and novices were about equally overconfident. Experts reported intervals that had midpoints closer to the true value--which increased hit rate--and that were narrower (i.e., more informative)--which decreased hit rate. The net effect was no change in hit rate and overconfidence. Experiment 2 showed that both experts and novices mistakenly expected experts to be much less overconfident than novices, but they correctly predicted that experts would provide narrower intervals with midpoints closer to the truth. Decisions about whether to consult experts should be based on which aspects of performance are desired.
Keywords: Overconfidence; Expertise; Interval; estimates (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (34)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0749-5978(08)00018-6
Full text for ScienceDirect subscribers only
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:eee:jobhdp:v:107:y:2008:i:2:p:179-191
Access Statistics for this article
Organizational Behavior and Human Decision Processes is currently edited by John M. Schaubroeck
More articles in Organizational Behavior and Human Decision Processes from Elsevier
Bibliographic data for series maintained by Catherine Liu ().