Accessibility navigation


Market news and credibility cues improve house price predictions: an experiment on bounded rationality in real estate

Isler, O. ORCID: https://orcid.org/0000-0002-4638-2230, Flew, T. ORCID: https://orcid.org/0000-0003-4485-9338, Erol, I. ORCID: https://orcid.org/0000-0001-8125-9118 and Dulleck, U. ORCID: https://orcid.org/0000-0002-0953-5963 (2021) Market news and credibility cues improve house price predictions: an experiment on bounded rationality in real estate. Journal of Behavioral and Experimental Finance, 31. 100550. ISSN 2214-6350

[img]
Preview
Text - Accepted Version
· Available under License Creative Commons Attribution Non-commercial No Derivatives.
· Please see our End User Agreement before downloading.

185kB

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1016/j.jbef.2021.100550

Abstract/Summary

We experimentally study bounded rationality in real estate by observing the effects of market news and media credibility cues on house price predictions. Non-professional market actors read news articles about recent house price trends from online news sources varying in perceived trustworthiness and brand anonymity, and then predicted selling prices of apartments for monetary reward. Boundedly rational actors are expected to make (imperfect) use of public information and rely on contextual ques to infer information quality. Price predictions were in the opposite direction of market trends in a control condition without market news. As hypothesized, (1) market news on price trends increased the accuracy of predictions, and (2) information from a more credible medium had stronger effect on price predictions when its brand was made visible. Systematic inaccuracies in price predictions, their improvement with market information, and reliance on credibility cues suggest that non-professional property valuations are boundedly rational.

Item Type:Article
Refereed:Yes
Divisions:Henley Business School > Real Estate and Planning
ID Code:99846
Publisher:Elsevier

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation