Noise and bias in eliciting preferences

DOI10.1007/s11166-009-9081-1zbMath1187.91064OpenAlexW2036924402MaRDI QIDQ843715

John D. Hey, Andrea Morone, Ulrich Schmidt

Publication date: 15 January 2010

Published in: Journal of Risk and Uncertainty (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10419/3967

zbMATH Keywords

errorsnoisewillingness-to-paywillingness-to-acceptbiasesBDM mechanismpairwise choice

Mathematics Subject Classification ID

Utility theory (91B16) Experimental studies (91A90)

Related Items (4)

On reference dependence and complementary symmetry ⋮ All at once! A comprehensive and tractable semi-parametric method to elicit prospect theory components ⋮ Estimating individual and group preference functionals using experimental data ⋮ Nuclear emergency decision support: a behavioural OR perspective

Cites Work

• `Stochastically more risk averse': a contextual theory of stochastic discrete choice under risk
• Violations of the independence axiom in common ratio problems: An experimental test of some competing hypotheses
• Do subjects separate (or are they sophisticated)?
• An experimental investigation of violations of transitivity in choice under uncertainty
• Stochastic utility theorem
• Stochastic expected utility theory
• Investigation of stochastic preference theory using experimental data
• Advances in prospect theory: cumulative representation of uncertainty
• On the validity of the random lottery incentive system
• A microeconometric test of alternative stochastic theories of risky choice
• The impact of incentives upon risky choice experiments
• Which error story is best?
• Just who are you calling risk averse?
• Are preference reversals errors? An experimental investigation
• Causes of Allais common consequence paradoxes: an experimental dissection
• Generalized expected utility, heteroscedastic error, and path dependence in risky choice
• Expected utility theory and prospect theory: One wedding and a decent funeral
• The Predictive Utility of Generalized Expected Utility Theories
• Investigating Generalizations of Expected Utility Theory Using Experimental Data

This page was built for publication: Noise and bias in eliciting preferences