2010
DOI: 10.1057/jmm.2010.19
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Predicting new product adoption using Bayesian truth serum

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Cited by 9 publications
(11 citation statements)
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“…For example, John et al (2012) successfully used it to incentivize social psychologist to admit to questionable research practices, while Weaver and Prelec (2013) demonstrated the BTS to yield significantly more honest responses in a general knowledge questionnaire than the control group even when coupled with a mechanism encouraging overreporting one's knowledge. The BTS has been utilized in studies of optimal incentives for inexpert human raters (Shaw et al 2011), informing policy (Weiss 2009) as well as ex ante analysis of new drug adoption (Howie et al 2011).…”
Section: Methodsmentioning
confidence: 99%
“…For example, John et al (2012) successfully used it to incentivize social psychologist to admit to questionable research practices, while Weaver and Prelec (2013) demonstrated the BTS to yield significantly more honest responses in a general knowledge questionnaire than the control group even when coupled with a mechanism encouraging overreporting one's knowledge. The BTS has been utilized in studies of optimal incentives for inexpert human raters (Shaw et al 2011), informing policy (Weiss 2009) as well as ex ante analysis of new drug adoption (Howie et al 2011).…”
Section: Methodsmentioning
confidence: 99%
“…It is designed to reward honesty of responders in survey designs where the subject matter is subjective and cannot be compared against an objective baseline. It has been used in predicting new product adoption (Howie et al 2011), in perceptual deterrence studies in criminological research (Loughran et al 2014), in eliciting expert beliefs about future energy prices (Zhou et al 2019), and in estimating the prevalence of questionable research practices in psychology (John et al 2012). In all of these cases, participants could not be standardly incentivised to provide true answers due to the nature of the questions being subjective or not straightforwardly verifiable in a relevant time frame.…”
Section: Incentive Compatible Mechanism Design and The Bayesian Truth Serummentioning
confidence: 99%
“…We say that the BTS mechanism results in logarithmic scoring. BTS has been successfully applied in various fields, including new product adoption [12], economics and psychology [15], knowledge design [20], and criminology [17].…”
mentioning
confidence: 99%
“…A response a π would typically include a declaration of a respondent's type (choosing an answer to a multiple-choice question) and it would also include responses to some other questions in order to be truth-inducing. 12 It could also include a declaration of the respondent's prior distribution of types and states of nature, as introduced below; that is, the respondent could be asked to state his prior. We posit the following.…”
mentioning
confidence: 99%