Anchoring in economics: a meta-analysis of studies on willingness-to-pay and willingness-to-accept
Anchoring in economics: a meta-analysis of studies on willingness-to-pay and willingness-to-accept
Anchoring is considered one of the most robust psychological phenomena in judgment and decision-making. Earlier studies produced strong and consistent evidence that anchoring is relevant for the elicitation of economic preferences, but subsequent studies found weaker and less consistent effects. We examined the economic significance of numerical anchoring by conducting a meta-analysis of 53 studies. We used the Pearson correlation coefficient between the anchor number and target response (in our case, Willingness-to-Pay and Willingness-to-Accept) as the primary effect size. Both fixed-effects and random effects models pointed to a moderate overall effect, smaller than the effects reported in early studies. Given some well-known limitations of our meta-analytic methodology, these results should be viewed with caution and the effect size as an upper bound. Also, meta-regression analysis indicates that non-random anchors and non-laboratory experiments were associated with higher anchoring effects, whereas selling tasks and anchors incompatible with the evaluated item were associated with lower (but often non-significant)
anchoring effects. The use of financial incentives did not have a discernible effect.
Meta-Analysis, Willingness to Pay, anchoring effects
Li, Lunzheng
7d699bd6-0aec-458f-9ed6-76a42c4893ae
Maniadis, Zacharias
70ffa309-94c9-487c-982f-778294ea2a13
Sedikides, Constantine
9d45e66d-75bb-44de-87d7-21fd553812c2
February 2021
Li, Lunzheng
7d699bd6-0aec-458f-9ed6-76a42c4893ae
Maniadis, Zacharias
70ffa309-94c9-487c-982f-778294ea2a13
Sedikides, Constantine
9d45e66d-75bb-44de-87d7-21fd553812c2
Li, Lunzheng, Maniadis, Zacharias and Sedikides, Constantine
(2021)
Anchoring in economics: a meta-analysis of studies on willingness-to-pay and willingness-to-accept.
Journal of Behavioral and Experimental Economics, 90, [101629].
(doi:10.1016/j.socec.2020.101629).
Abstract
Anchoring is considered one of the most robust psychological phenomena in judgment and decision-making. Earlier studies produced strong and consistent evidence that anchoring is relevant for the elicitation of economic preferences, but subsequent studies found weaker and less consistent effects. We examined the economic significance of numerical anchoring by conducting a meta-analysis of 53 studies. We used the Pearson correlation coefficient between the anchor number and target response (in our case, Willingness-to-Pay and Willingness-to-Accept) as the primary effect size. Both fixed-effects and random effects models pointed to a moderate overall effect, smaller than the effects reported in early studies. Given some well-known limitations of our meta-analytic methodology, these results should be viewed with caution and the effect size as an upper bound. Also, meta-regression analysis indicates that non-random anchors and non-laboratory experiments were associated with higher anchoring effects, whereas selling tasks and anchors incompatible with the evaluated item were associated with lower (but often non-significant)
anchoring effects. The use of financial incentives did not have a discernible effect.
Text
LMS2020 REVISED
- Accepted Manuscript
Restricted to Repository staff only
Request a copy
More information
Accepted/In Press date: 14 October 2020
e-pub ahead of print date: 22 October 2020
Published date: February 2021
Additional Information:
Publisher Copyright:
© 2020 Elsevier Inc.
Keywords:
Meta-Analysis, Willingness to Pay, anchoring effects
Identifiers
Local EPrints ID: 444828
URI: http://eprints.soton.ac.uk/id/eprint/444828
ISSN: 2214-8043
PURE UUID: 19f83b3e-3d49-44f5-acfa-98647945de84
Catalogue record
Date deposited: 06 Nov 2020 17:30
Last modified: 17 Mar 2024 03:29
Export record
Altmetrics
Contributors
Author:
Lunzheng Li
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics