Abstract
dc:description.abstractThis dissertation consists of three chapters exploring the role of incomplete information and learning in elections. The first chapter examines the dynamics of voter learning about candidate ability in repeated elections. The dynamic process of belief revision gives rise to incentives that vary strongly over a politician's career. In particular, candidates become entrenched over time, so, even though they exert little effort, the voter cannot commit to throw incumbents out of office. I embed the basic model in a common agency framework to study seniority norms in legislative organization. The model organizes many of the stylized facts about the U.S. Congress, including the incumbency advantage, the dynamics of effort allocation over a career, the importance of constituency service, and seniority norms in committee assignments. In chapter 2, I study a simple model of campaign finance with possibly asymmetric candidates. Each candidate has the option of promising favors to interest groups in exchange for the funds they need to reveal information to the voters. When the incumbent has a sufficiently large ex-ante advantage, the challenger will be unable to raise funds at all.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Dept. of Economics.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2001
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Ashworth, Scott, 1972-
- Advisor dc:contributor.advisor
-
- James M. Snyder, Jr.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/8656
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/8656