Market design for platforms, large games, and comparative statics
Abstract/Contents
- Abstract
- In recent years the amount of data collected by online platforms has increased massively. These data, together with the unique ability of online platforms to design their marketplaces, provide platforms with an unprecedented opportunity to make better market design choices to enhance the welfare of platforms' participants and increase platforms' revenues. The first chapter of my dissertation (co-authored with my advisors Ramesh Johari and Gabriel Weintraub) studies one such market design problem that relates to quality selection. Online markets typically consist of many small buyers and sellers, and thus, in order to analyze market design decisions in online platforms it is crucial to model and to have a better understanding of large games, i.e., settings with many interacting agents. The second chapter of my dissertation (co-authored with Gabriel Weintraub) studies some properties of mean field models which are used to model settings with a large number of interacting agents. The third and fourth chapters of my dissertation provide tools that enable deriving comparative statics results in complex uncertain environments.
Description
Type of resource | text |
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Form | electronic resource; remote; computer; online resource |
Extent | 1 online resource. |
Place | California |
Place | [Stanford, California] |
Publisher | [Stanford University] |
Copyright date | 2021; ©2021 |
Publication date | 2021; 2021 |
Issuance | monographic |
Language | English |
Creators/Contributors
Author | Light, Bar |
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Degree supervisor | Johari, Ramesh, 1976- |
Degree supervisor | Weintraub, Gabriel |
Thesis advisor | Johari, Ramesh, 1976- |
Thesis advisor | Weintraub, Gabriel |
Thesis advisor | Bimpikis, Kostas |
Thesis advisor | Ostrovsky, Michael |
Degree committee member | Bimpikis, Kostas |
Degree committee member | Ostrovsky, Michael |
Associated with | Stanford University, Graduate School of Business |
Subjects
Genre | Theses |
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Genre | Text |
Bibliographic information
Statement of responsibility | Bar Light. |
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Note | Submitted to the Graduate School of Business. |
Thesis | Thesis Ph.D. Stanford University 2021. |
Location | https://purl.stanford.edu/dn461wq0784 |
Access conditions
- Copyright
- © 2021 by Bar Light
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