2010
DOI: 10.2139/ssrn.1554686
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Identifying the Effects of Unjustified Confidence Versus Overconfidence: Lessons Learned from Two Analytic Methods

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Cited by 10 publications
(24 citation statements)
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“…For each study, we use linear regression to examine how confidence predicted the composite measure of self-reported retirement planning, after controlling for knowledge. We favored this characterization of unjustified confidence (predictive ability of confidence, controlling for knowledge; Parker & Stone, 2010) over the more common under/overconfidence score (mean confidence minus percent correct), both because the latter could not be computed for Studies 1 and 3 and because of the potential for both confidence and knowledge to be correlated with the dependent variable in the same direction. Finally, because fee minimization when investing (Study 3) is arguably a behavioral outcome of having more knowledge, it is also an appropriate validation measure.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…For each study, we use linear regression to examine how confidence predicted the composite measure of self-reported retirement planning, after controlling for knowledge. We favored this characterization of unjustified confidence (predictive ability of confidence, controlling for knowledge; Parker & Stone, 2010) over the more common under/overconfidence score (mean confidence minus percent correct), both because the latter could not be computed for Studies 1 and 3 and because of the potential for both confidence and knowledge to be correlated with the dependent variable in the same direction. Finally, because fee minimization when investing (Study 3) is arguably a behavioral outcome of having more knowledge, it is also an appropriate validation measure.…”
Section: Methodsmentioning
confidence: 99%
“…Without translating verbal probability expressions into numerical probabilities, such rating scales render it impossible to compute a difference measure of under/overconfidence , which would require that both overall confidence and knowledge are expressed as a ratio-scaled percentage. An alternative to this difference measure (as well as others that rely on ratio-scale confidence assessments) is to instead focus on the degree to which confidence varies independently of knowledge (see Jaccard, Dodge, & Guilamo-Ramos, 2005; Parker & Stone, 2010). Although such a measure of the appropriateness of confidence does not allow for a direct comparison between absolute levels of confidence and knowledge, it is easily computed using regression techniques.…”
Section: Evaluating Confidencementioning
confidence: 99%
“…To derive a measure of perceived financial sophistication not justified by actual sophistication, we therefore follow Parker and Stone (2014) and calculate the residual from a regression of the confidence score on the financial literacy score. Panel C of Table 3 displays the mean of this "unjustified confidence" score, which captures both underconfidence (if negative) and overconfidence (if positive), over the different subgroups of sample respondents.…”
Section: Datamentioning
confidence: 99%
“…To derive a measure of subjective confidence not justified by objective financial literacy, we therefore follow Parker and Stone (2014) and calculate the residual from a regression of the confidence score on the financial literacy score. Panel C of Table 3 displays the mean of this "unjustified confidence" score, which captures both underconfidence (if negative) and overconfidence (if positive), over the different subgroups of sample respondents.…”
Section: Datamentioning
confidence: 99%