Abstract
This article assesses the impact of Uber arrival on the hourly earnings of Brazilian taxi drivers. Microdata information from a national survey is used to build a longitudinal database that allows the estimation of these impacts through models in generalized differences in differences and in triple differences. The results indicate that Uber's services did not have a significant impact on the hourly earnings of taxi drivers in Brazil. The article provides some explanations for these results, but, concludes that this evidence supports the idea that Uber, in short run, has spread the market to new consumers.
Keywords
Uber; taxi; longitudinal data; Brazil