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Learning about Preference

Piermont, Evan (2017) Learning about Preference. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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This dissertation includes three essays, each investigating the formation and evolution of preference, with particular attention paid to epistemological concerns, dynamics, and learning. Loosely speaking, each chapter provides a different approach to modeling how a Decision Maker (DM) might learn about her own preference. The work as a whole adheres to the classical notions of revealed preference and utility maximization and the chapters are ordered by their level of abstraction. The first chapter considers DM who learns by observing the environment in which decisions must be made. The second chapter, written jointly with Roee Teper, considers a DM who learns by observing the consequences of her prior choices. Finally, the third chapter considers a DM who learns novel of which she previously had not conception.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Piermont, Evanehp5Apitt.eduehp50000-0002-4189-5504
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee CoChairTeper,
Committee CoChairRigotti,
Committee MemberWang, Stephanieswwang@pitt.edu0000-0002-9244-2492
Committee MemberTeddy, Seidenfeldteddy@stat.cmu.edu0000-0003-4828-2388
Date: 1 July 2017
Date Type: Publication
Defense Date: 31 March 2017
Approval Date: 1 July 2017
Submission Date: 8 March 2017
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 139
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Economics
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: responsive learning, menu-dependent choice, unawareness, epistemic preference, preference formation
Related URLs:
Date Deposited: 01 Jul 2017 22:38
Last Modified: 01 Jul 2017 22:38

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