Anchoring and subjective belief distributions
(2025) In Journal of Economic Behavior and Organization 240.- Abstract
We investigate how the anchoring effect—a well-established cognitive bias—influences subjective belief distributions. While prior research extensively examines the impact of anchoring and other biases on point estimates, their effect on the underlying distribution and its higher moments remains unexplored. Using two pre-registered online experiments (N = 1467) and two elicitation methods, we find that anchoring impacts not just the mean, but also higher moments of belief distributions. Notably, the traditional anchoring effect in means diminishes when eliciting distributions rather than point estimates. We also find that the elicitation method matters: inattentive participants generate spiky distributions when manually entering numbers... (More)
We investigate how the anchoring effect—a well-established cognitive bias—influences subjective belief distributions. While prior research extensively examines the impact of anchoring and other biases on point estimates, their effect on the underlying distribution and its higher moments remains unexplored. Using two pre-registered online experiments (N = 1467) and two elicitation methods, we find that anchoring impacts not just the mean, but also higher moments of belief distributions. Notably, the traditional anchoring effect in means diminishes when eliciting distributions rather than point estimates. We also find that the elicitation method matters: inattentive participants generate spiky distributions when manually entering numbers for many bins, whereas they generate flat distributions using a click-and-drag interface. These findings show that cognitive biases can extend beyond point estimates, and that the elicitation technique may impact results especially among inattentive participants.
(Less)
- author
- Holm, Håkan J.
LU
; Samahita, Margaret
LU
; van Veldhuizen, Roel
LU
and Wengström, Erik
LU
- organization
- publishing date
- 2025-12
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Anchoring, Belief elicitation, Heuristics and biases, D73, C91, K42
- in
- Journal of Economic Behavior and Organization
- volume
- 240
- article number
- 107304
- publisher
- Elsevier
- external identifiers
-
- scopus:105021233277
- ISSN
- 0167-2681
- DOI
- 10.1016/j.jebo.2025.107304
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2025 The Authors
- id
- 56d97151-691b-494a-bfc2-845267918cda
- date added to LUP
- 2025-11-20 13:39:23
- date last changed
- 2025-11-20 14:07:03
@article{56d97151-691b-494a-bfc2-845267918cda,
abstract = {{<p>We investigate how the anchoring effect—a well-established cognitive bias—influences subjective belief distributions. While prior research extensively examines the impact of anchoring and other biases on point estimates, their effect on the underlying distribution and its higher moments remains unexplored. Using two pre-registered online experiments (N = 1467) and two elicitation methods, we find that anchoring impacts not just the mean, but also higher moments of belief distributions. Notably, the traditional anchoring effect in means diminishes when eliciting distributions rather than point estimates. We also find that the elicitation method matters: inattentive participants generate spiky distributions when manually entering numbers for many bins, whereas they generate flat distributions using a click-and-drag interface. These findings show that cognitive biases can extend beyond point estimates, and that the elicitation technique may impact results especially among inattentive participants.</p>}},
author = {{Holm, Håkan J. and Samahita, Margaret and van Veldhuizen, Roel and Wengström, Erik}},
issn = {{0167-2681}},
keywords = {{Anchoring; Belief elicitation; Heuristics and biases; D73; C91; K42}},
language = {{eng}},
publisher = {{Elsevier}},
series = {{Journal of Economic Behavior and Organization}},
title = {{Anchoring and subjective belief distributions}},
url = {{http://dx.doi.org/10.1016/j.jebo.2025.107304}},
doi = {{10.1016/j.jebo.2025.107304}},
volume = {{240}},
year = {{2025}},
}