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Learning About Preference.

Piermont, Evan.

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Learning About Preference.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Learning About Preference./
Author:	Piermont, Evan.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	140 p.
Notes:	Source: Dissertation Abstracts International, Volume: 79-01(E), Section: A.
Contained By:	Dissertation Abstracts International79-01A(E).
Subject:	Economic theory. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10645892
ISBN:	9780355191462

Learning About Preference.
Piermont, Evan.

Learning About Preference. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 140 p.

Source: Dissertation Abstracts International, Volume: 79-01(E), Section: A.

Thesis (Ph.D.)--University of Pittsburgh, 2017.

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. 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 information of which she previously had no conception.

ISBN: 9780355191462Subjects--Topical Terms:

1556984
Economic theory.

Learning About Preference.
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500 $a Source: Dissertation Abstracts International, Volume: 79-01(E), Section: A.
500 $a Adviser: Luca Rigotti.
502 $a Thesis (Ph.D.)--University of Pittsburgh, 2017.
520 $a 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. 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 information of which she previously had no conception.
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856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10645892