Abstract
dc:description.abstractThis dissertation consists of four chapters. Chapter 1 studies the effect of online review manipulations on review systems. Chapter 2 and Chapter 3 are co-authored with Ali Kakhbod and focus on post-trade transparency in dynamic over-the-counter markets. Chapter 4 is co-authored with Umut Dur, Parag A. Pathak and Tayfun Sönmez and studies the effect of the Taiwan mechanism, a mechanism that allocates high school seats to applicants. Chapter 1 shows that the conventional impression holds in the short-run that review manipulation makes review systems less informative. In the long-run, however., a manipulated review system can contain the same level of information as an un-manipulated counterpart. I develop a dynamic programming model with fixed product quality and naive buyers who are unaware of manipulation. I then extend it to consider endogenous product quality and sophisticated buyers. I also identify an unexpected effect of a policy to target sellers and check for manipulation.
Degree
thesis:*- Name thesis:degree_name
- Doctoral
- Department dc:contributor.department
- Massachusetts Institute of Technology. Department of Economics
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2019
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Song, Fei,Ph. D.Massachusetts Institute of Technology.
- Advisor dc:contributor.advisor
-
- Parag A. Pathak and Glenn D. Ellison.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- https://hdl.handle.net/1721.1/121786
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/121786