The distortion of information to support an emerging evaluation of risk
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Abstract
Suggested Citation
DOI: 10.1016/j.jeconom.2010.07.004
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Citations
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Cited by:
- DeKay, Michael L. & Miller, Seth A. & Schley, Dan R. & Erford, Breann M., 2014. "Proleader and antitrailer information distortion and their effects on choice and postchoice memory," Organizational Behavior and Human Decision Processes, Elsevier, vol. 125(2), pages 134-150.
- repec:cup:judgdm:v:8:y:2013:i:6:p:662-677 is not listed on IDEAS
- Bonaccorsi, Andrea & Apreda, Riccardo & Fantoni, Gualtiero, 2020. "Expert biases in technology foresight. Why they are a problem and how to mitigate them," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
- Seth A. Miller & Michael L. DeKay & Eric R. Stone & Clare M. Sorenson, 2013. "Assessing the sensitivity of information distortion to four potential influences in studies of risky choice," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 8(6), pages 662-677, November.
- Philipp Ecken & Richard Pibernik, 2016. "Hit or Miss: What Leads Experts to Take Advice for Long-Term Judgments?," Management Science, INFORMS, vol. 62(7), pages 2002-2021, July.
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Keywords
Desirability bias; Distortion of information; Format of information; Risk; Risk assessment;All these keywords.
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