Lafky, Jonathan
(2010)
Three Essays On Online Ratings and Auction Theory.
Doctoral Dissertation, University of Pittsburgh.
(Unpublished)
Abstract
This work includes three papers, focusing on online ratings and auction theory. The first chapter, "Why Do People Write Reviews? Theory and Evidence on Online Ratings" examines what motivates consumers to provide uncompensated ratings for products on in the internet. It finds that both a desire to inform other buyers and to punish or reward sellers are at play.The second chapter "All Equilibria of the Multi-Unit Vickrey Auction" characterizes all Nash Equilibria for the Vickrey auction with three or more bidders and any number of units. It shows that all equilibria fall into one of two basic families, and that there cannot be equilibria of any other type.The third chapter "Optimal Availability of Online Ratings" looks at what role consumer ratings have in determining market outcomes. It shows that more information for buyers does not always lead to increased buyer welfare, and that in some cases it may be preferable to keep some buyers uninformed of existing ratings.
Share
Citation/Export: |
|
Social Networking: |
|
Details
Item Type: |
University of Pittsburgh ETD
|
Status: |
Unpublished |
Creators/Authors: |
|
ETD Committee: |
|
Date: |
30 September 2010 |
Date Type: |
Completion |
Defense Date: |
24 June 2010 |
Approval Date: |
30 September 2010 |
Submission Date: |
22 June 2010 |
Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
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: |
Herding; Online Ratings |
Other ID: |
http://etd.library.pitt.edu/ETD/available/etd-06222010-135303/, etd-06222010-135303 |
Date Deposited: |
10 Nov 2011 19:48 |
Last Modified: |
15 Nov 2016 13:44 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/8169 |
Metrics
Monthly Views for the past 3 years
Plum Analytics
Actions (login required)
|
View Item |