Judgmental aggregation strategies depend on whether the self is involved
AbstractWe report the results of a novel experiment that addresses two unresolved questions in the judgmental forecasting literature. First, how does combining the estimates of others differ from revising one’s own estimate based on the judgment of another? The experiment found that participants often ignored advice when revising an estimate but averaged estimates when combining. This was true despite receiving identical feedback about the accuracy of past judgments. Second, why do people consistently tend to overweight their own opinions at the expense of profitable advice? We compared two prominent explanations for this, differential access to reasons and egocentric beliefs, and found that neither adequately accounts for the overweighting of the self. Finally, echoing past research, we find that averaging opinions is often advantageous, but that choosing a single judge can perform well in certain predictable situations.
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Bibliographic InfoArticle provided by Elsevier in its journal International Journal of Forecasting.
Volume (Year): 27 (2011)
Issue (Month): 1 ()
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Web page: http://www.elsevier.com/locate/ijforecast
Advice taking; Averaging judgments; Combining opinions; Information integration; Judgmental forecasting;
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- Wright, George & Rowe, Gene, 2011. "Group-based judgmental forecasting: An integration of extant knowledge and the development of priorities for a new research agenda," International Journal of Forecasting, Elsevier, vol. 27(1), pages 1-13, January.
- Ilan Yaniv & Shoham Choshen-Hillel, 2012. "When guessing what another person would say is better than giving your own opinion: Using perspective-taking to improve advice-taking," Discussion Paper Series dp622, The Center for the Study of Rationality, Hebrew University, Jerusalem.
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