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Drivers of disruption? Estimating the Uber effect

Berger, Thor LU ; Chen, Chinchih and Frey, Carl Benedikt LU (2018) In European Economic Review 110. p.197-210
Abstract

A frequent belief is that the rise of so-called “gig work” has led to the displacement of workers in a wide range of traditional jobs. This paper examines the impacts of the flagship of the gig economy—Uber—on workers employed in conventional taxi services. Our analysis exploits newly collected data on the staggered rollout of Uber across metropolitan areas in the United States and a difference-in-differences design to document that incumbent taxi drivers experienced a relative earnings decline of about 10 percent subsequent to Uber's entry into a new market, while there are no significant effects on their labor supply. Additional evidence from a battery of placebo tests, event study estimates, and specifications using Google Trends... (More)

A frequent belief is that the rise of so-called “gig work” has led to the displacement of workers in a wide range of traditional jobs. This paper examines the impacts of the flagship of the gig economy—Uber—on workers employed in conventional taxi services. Our analysis exploits newly collected data on the staggered rollout of Uber across metropolitan areas in the United States and a difference-in-differences design to document that incumbent taxi drivers experienced a relative earnings decline of about 10 percent subsequent to Uber's entry into a new market, while there are no significant effects on their labor supply. Additional evidence from a battery of placebo tests, event study estimates, and specifications using Google Trends data to capture differences in treatment intensity underlines these findings. A triple-differences design that compares changes among taxi drivers relative to bus, tractor, and truck drivers that were unaffected by the arrival of Uber, provides further supporting evidence that the diffusion of Uber has reduced the earnings potential of incumbent drivers in conventional taxi services in the United States.

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Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Competition, Gig economy, Platform technology, Technological change, Uber
in
European Economic Review
volume
110
pages
14 pages
publisher
Elsevier
external identifiers
  • scopus:85053374743
ISSN
0014-2921
DOI
10.1016/j.euroecorev.2018.05.006
language
English
LU publication?
no
id
6e6cf680-dfb1-4897-b2f8-a10c2b18c21d
date added to LUP
2018-10-09 08:45:47
date last changed
2022-04-25 17:37:52
@article{6e6cf680-dfb1-4897-b2f8-a10c2b18c21d,
  abstract     = {{<p>A frequent belief is that the rise of so-called “gig work” has led to the displacement of workers in a wide range of traditional jobs. This paper examines the impacts of the flagship of the gig economy—Uber—on workers employed in conventional taxi services. Our analysis exploits newly collected data on the staggered rollout of Uber across metropolitan areas in the United States and a difference-in-differences design to document that incumbent taxi drivers experienced a relative earnings decline of about 10 percent subsequent to Uber's entry into a new market, while there are no significant effects on their labor supply. Additional evidence from a battery of placebo tests, event study estimates, and specifications using Google Trends data to capture differences in treatment intensity underlines these findings. A triple-differences design that compares changes among taxi drivers relative to bus, tractor, and truck drivers that were unaffected by the arrival of Uber, provides further supporting evidence that the diffusion of Uber has reduced the earnings potential of incumbent drivers in conventional taxi services in the United States.</p>}},
  author       = {{Berger, Thor and Chen, Chinchih and Frey, Carl Benedikt}},
  issn         = {{0014-2921}},
  keywords     = {{Competition; Gig economy; Platform technology; Technological change; Uber}},
  language     = {{eng}},
  month        = {{11}},
  pages        = {{197--210}},
  publisher    = {{Elsevier}},
  series       = {{European Economic Review}},
  title        = {{Drivers of disruption? Estimating the Uber effect}},
  url          = {{http://dx.doi.org/10.1016/j.euroecorev.2018.05.006}},
  doi          = {{10.1016/j.euroecorev.2018.05.006}},
  volume       = {{110}},
  year         = {{2018}},
}