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dc.contributor.authorChen, Jialie
dc.date.accessioned2018-10-23T13:33:19Z
dc.date.issued2018-08-30
dc.identifier.otherChen_cornellgrad_0058F_10905
dc.identifier.otherhttp://dissertations.umi.com/cornellgrad:10905
dc.identifier.otherbibid: 10489647
dc.identifier.urihttps://hdl.handle.net/1813/59551
dc.description.abstractIn this dissertation, we seek to understand consumers’ and firms’ decisions under uncertainty, and more importantly, how uncertainty is resolved through information searching and sharing. Using dynamic structural models, we address these issues in the context of multi-channel retailing, digital marketing as well as vice good consumption. Results from these applications lead to important implications for both industry practitioners as well as policymakers.
dc.language.isoen_US
dc.subjectMarketing
dc.titleTHREE ESSAYS ON CONSUMER LEARNING USING STRUCTURAL MODELS
dc.typedissertation or thesis
dc.description.embargo2024-08-22
thesis.degree.disciplineManagement
thesis.degree.grantorCornell University
thesis.degree.levelDoctor of Philosophy
thesis.degree.namePh. D., Management
dc.contributor.chairPark, Young-Hoon
dc.contributor.committeeMemberGupta, Sachin
dc.contributor.committeeMemberBarwick, Panle Jia
dcterms.licensehttps://hdl.handle.net/1813/59810
dc.identifier.doihttps://doi.org/10.7298/X4668BF6


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