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Measures of Anchoring in Estimation Tasks

Bibliographic Data

ID23367231
AuthorsKaren E Jacowitz (University of California, Berkeley), Daniel Kahneman (Princeton University)
Year1995
Volume21
Issue11
Pages1161-1166
Publication date1995-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePersonality and Social Psychology Bulletin (JOURNAL)
Journal identifiersISSN: 0146-1672 • E-ISSN: 1552-7433
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/01461672952111004
OpenAlexW2147091291
LanguageEN
Citations received127
References cited11

The authors describe a method for the quantitative study of anchoring effects in estimation tasks. A calibration group provides estimates of a set of uncertain quantities. Subjects in the anchored condition first judge whether a specified number (the anchor) is higher or lower than the true value before estimating each quantity. The anchors are set at predetermined percentiles of the distribution of estimates in the calibration group (15th and 85th percentiles in this study). This procedure permits the transformation of anchored estimates into percentiles in the calibration group, allows pooling of results across problems, and provides a natural measure of the size of the effect. The authors illustrate the method by a demonstration that the initial judgment of the anchor is susceptible to an anchoring-like bias and by an analysis of the relation between anchoring and subjective confidence.

Anchoring · Calibration · Data mining · Econometrics · Estimation · Measure (data warehouse) · Percentile · Pooling · Set (abstract data type) · Statistics · Artificial Intelligence · Bayesian Modeling and Causal Inference · Computer Science · Decision-Making and Behavioral Economics · Engineering · Forecasting Techniques and Applications · Mathematics · Psychology · Social Psychology

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Unique citing works127
Citations per year2,23
Citation span1969 - 2026 (58)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 111

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