Attribution bias in economic decision making /

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Bibliographic Details
Author / Creator:Haggag, Kareem, author.
Imprint:2016.
Ann Arbor : ProQuest Dissertations & Theses, 2016
Description:1 electronic resource (68 pages)
Language:English
Format: E-Resource Dissertations
Local Note:School code: 0330
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11674610
Hidden Bibliographic Details
Other authors / contributors:University of Chicago. degree granting institution.
ISBN:9781339875422
Notes:Advisors: Devin Pope; John List Committee members: Marianne Bertrand; Richard Thaler.
Dissertation Abstracts International, Volume: 77-12(E), Section: A.
English
Summary:When judging the value of a good, people may be overly influenced by the state in which they previously consumed it. For example, someone who tries out a new restaurant while very hungry may subsequently rate it as high quality, even if the food is mediocre. We produce a simple framework for this form of attribution bias that embeds a standard model of decision making as a special case. We test for attribution bias across two consumer decisions. First, we conduct an experiment in which we randomly manipulate the thirst of participants prior to consuming a new drink. Second, using data from thousands of amusement park visitors, we explore how pleasant weather during their most recent trip affects their stated likelihood of returning. In both of these domains, we find evidence that people misattribute the influence of a temporary state to a stable quality of the consumption good. We provide evidence against several alternative accounts for our findings and discuss the broader implications of attribution bias in economic decision making.

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