Essays on internet economics and innovation
Abstract/Contents
- Abstract
- In this dissertation I study a series of questions in economics of online markets and innovation. In the first chapter, joint work with Zoe Cullen, we study a central economic problem for peer-to-peer online marketplaces: how to create successful matches when demand and supply are highly variable. Specifically, we present and estimate a parsimonious model of a frictional matching market for services, which lets us derive the elasticity of labor demand and supply, the split of surplus between buyers and sellers, and the efficiency with which requests and offers for services are successfully matched. In the second chapter, joint work with Liran Einav, Jonathan Levin, and Neel Sundaresan, we explore the decline of internet auctions in favor of posted prices. We use data from eBay to separate the effect of a shift in buyer demand away from auctions, and the effect of a general narrowing of seller margins due to increased competition. In the third chapter, I test and confirm the positive relationship between patent economic value and citations, an often assumed hypothesis in the economics literature on innovation.
Description
Type of resource | text |
---|---|
Form | electronic; electronic resource; remote |
Extent | 1 online resource. |
Publication date | 2015 |
Issuance | monographic |
Language | English |
Creators/Contributors
Associated with | Farronato, Chiara |
---|---|
Associated with | Stanford University, Department of Economics. |
Primary advisor | Levin, Jonathan |
Thesis advisor | Levin, Jonathan |
Thesis advisor | Athey, Susan |
Thesis advisor | Einav, Liran |
Advisor | Athey, Susan |
Advisor | Einav, Liran |
Subjects
Genre | Theses |
---|
Bibliographic information
Statement of responsibility | Chiara Farronato. |
---|---|
Note | Submitted to the Department of Economics. |
Thesis | Thesis (Ph.D.)--Stanford University, 2015. |
Location | electronic resource |
Access conditions
- Copyright
- © 2015 by Chiara Farronato
Also listed in
Loading usage metrics...