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Essays on Reputation and Learning in...

Zhang, Simpson Zhe.

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Essays on Reputation and Learning in Markets and Networks.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Essays on Reputation and Learning in Markets and Networks./
Author:	Zhang, Simpson Zhe.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
Description:	136 p.
Notes:	Source: Dissertation Abstracts International, Volume: 77-11(E), Section: A.
Contained By:	Dissertation Abstracts International77-11A(E).
Subject:	Economic theory. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10119580
ISBN:	9781339808147

Essays on Reputation and Learning in Markets and Networks.
Zhang, Simpson Zhe.

Essays on Reputation and Learning in Markets and Networks. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 136 p.

Source: Dissertation Abstracts International, Volume: 77-11(E), Section: A.

Thesis (Ph.D.)--University of California, Los Angeles, 2016.

This dissertation addresses key topics in the economic study of reputation and learning. Many real world interactions occur among agents who are only partially informed about the qualities of other agents. Therefore the agents must learn about each other over time as they interact. Over time, as more information is learned, a reputation will develop for an agent, and this reputation will inform the decisions of other agents to interact with them. Thus understanding the nature and impact of reputational effects in dynamic settings is crucial in developing more realistic models of the world.

ISBN: 9781339808147Subjects--Topical Terms:

1556984
Economic theory.

Essays on Reputation and Learning in Markets and Networks.
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245 1 0 $a Essays on Reputation and Learning in Markets and Networks.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2016
300 $a 136 p.
500 $a Source: Dissertation Abstracts International, Volume: 77-11(E), Section: A.
500 $a Adviser: Moritz Meyer-ter-Vehn.
502 $a Thesis (Ph.D.)--University of California, Los Angeles, 2016.
520 $a This dissertation addresses key topics in the economic study of reputation and learning. Many real world interactions occur among agents who are only partially informed about the qualities of other agents. Therefore the agents must learn about each other over time as they interact. Over time, as more information is learned, a reputation will develop for an agent, and this reputation will inform the decisions of other agents to interact with them. Thus understanding the nature and impact of reputational effects in dynamic settings is crucial in developing more realistic models of the world.
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856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10119580