Earning driving factors for ride-hailing partners in Mexico: an economic analysis

By using panel data from the driver population of DiDi, the most used ride-hailing platform in Mexico from three years (2019 to 2021), this thesis project aims to understand which factors from behavioral, platform characteristics, and demographic variables are associated with the amount of Earnings before bonuses generated by the app’s driving partners. The final results create nationwide and city-specific models, via an ordinary least squares regression methodology. The study presents an exploratory analysis and does not aim to imply causal relations.

https://orcid.org/0000-0002-6190-9918