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dc.contributor.advisorBrown, Alexander
dc.creatorJe, Hyundam
dc.date.accessioned2023-09-19T18:53:41Z
dc.date.available2023-09-19T18:53:41Z
dc.date.created2023-05
dc.date.issued2023-05-08
dc.date.submittedMay 2023
dc.identifier.urihttps://hdl.handle.net/1969.1/199068
dc.description.abstractThis dissertation comprises three chapters on behavioral economics and decision theory. Each chapter is independent. In the first chapter, I present the first experimental evidence that information receivers exhibit a preference for a larger signal space, even when it does not affect signal accuracy. This preference for a larger signal space suggests that users are more attracted to a five-star rating system than a binary recommendation system. The second chapter is about the timing of the resolution of uncertainty. We provide the first experimental examination of uncertainty resolution in the domain of ambiguity. Results show that individuals prefer early resolution of both risk and ambiguity, and these preferences are positively correlated. In the last chapter, we examined a novel explanation for vaccine hesitancy: ambiguity aversion. Using a modified version of the Interactive Vaccination (I-Vax) Game from Bohm et al. (2016), we found that ambiguity-averse subjects were more likely to take the vaccination in general but were differentially less likely to take it in a treatment where there is ambiguity in the vaccination option.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectbehavioral economics
dc.subjectexperimental economics
dc.subjectdecision theory
dc.titleEssays in Behavioral Economics and Decision Theory
dc.typeThesis
thesis.degree.departmentEconomics
thesis.degree.disciplineEconomics
thesis.degree.grantorTexas A&M University
thesis.degree.nameDoctor of Philosophy
thesis.degree.levelDoctoral
dc.contributor.committeeMemberEckel, Catherine
dc.contributor.committeeMemberGuo, Huiyi
dc.contributor.committeeMemberKim, Hwagyun
dc.type.materialtext
dc.date.updated2023-09-19T18:53:42Z
local.etdauthor.orcid0009-0007-5764-0112


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