Essays on the economics of ride hailing
Abstract/Contents
- Abstract
- In the last decade, new technologies have led to a boom in dynamic pricing. I analyze the most salient example, surge pricing in ride hailing. Using data from Uber in Houston, I develop an empirical model of spatial equilibrium to measure the welfare effects of surge pricing. My model is composed of demand, supply, and a matching technology. It allows for temporal and spatial heterogeneity as well as randomness in supply and demand. I find that, relative to a counterfactual with uniform pricing, surge pricing increases total welfare by 3.53% of gross revenue. The gains mainly go to riders: rider surplus increases by 6.97% of gross revenue, whereas driver surplus and platform profits decrease by 1.97% and 1.42% of gross revenue, respectively. Disparities in driver surplus are magnified. Riders, on the other hand, are overwhelmingly better off
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 | 2020; ©2020 |
Publication date | 2020; 2020 |
Issuance | monographic |
Language | English |
Creators/Contributors
Author | Castillo Hernandez, Juan Camilo |
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Degree supervisor | Gentzkow, Matthew |
Thesis advisor | Gentzkow, Matthew |
Thesis advisor | Athey, Susan |
Thesis advisor | Einav, Liran |
Degree committee member | Athey, Susan |
Degree committee member | Einav, Liran |
Associated with | Stanford University, Department of Economics. |
Subjects
Genre | Theses |
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Genre | Text |
Bibliographic information
Statement of responsibility | Juan Camilo Castillo |
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Note | Submitted to the Department of Economics |
Thesis | Thesis Ph.D. Stanford University 2020 |
Location | electronic resource |
Access conditions
- Copyright
- © 2020 by Juan Camilo Castillo Hernandez
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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