dc.contributor.author
Fageda, Xavier, 1975-
dc.date.issued
2022-03-23T08:55:49Z
dc.date.issued
2022-03-23T08:55:49Z
dc.date.issued
2021-04-01
dc.date.issued
2022-03-23T08:55:49Z
dc.identifier
https://hdl.handle.net/2445/184341
dc.description.abstract
This paper examines the impact of Uber, the world's largest ride-hailing firm, on congestion. Drawing on data from European cities for the period 2008 through 2016, I find a negative impact of Uber on congestion. The estimated impact in the baseline regression is 3.5 percentage points, but it is higher in cities that do not impose strong regulatory restrictions to ride-hailing services. In addition, the negative impact of Uber on congestion is only statistically significant in denser cities. The Uber effect is gradual given that its impact increases over time. Finally, I find suggestive evidence that the potential endogeneity bias underestimates the negative effect of Uber on congestion.
dc.format
application/pdf
dc.relation
Reproducció del document publicat a: https://doi.org/10.1111/pirs.12607
dc.relation
Papers in Regional Science, 2021, vol. 100, num. 5, p. 1230-1253
dc.relation
https://doi.org/10.1111/pirs.12607
dc.rights
cc-by-nc-nd (c) Fageda, Xavier, 1975-, 2021
dc.rights
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Econometria, Estadística i Economia Aplicada)
dc.subject
Congestió del trànsit
dc.subject
Traffic congestion
dc.title
Measuring the impact of ride-hailing firms on urban congestion: The case of Uber in Europe
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion
