Ciencias Sociales

Permanent URI for this collectionhttps://hdl.handle.net/11285/582985

Pertenecen a esta colección Tesis y Trabajos de grado de las Maestrías correspondientes a las Escuelas de Gobierno y Transformación Pública, Humanidades y Educación, Arquitectura y Diseño, Negocios y EGADE Business School.

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Earning driving factors for ride-hailing partners in Mexico: an economic analysis
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2022-11-30) Cueto Felgueroso Arocha, Jordi; PONCE LOPEZ, ROBERTO; 355092; Ponce López, Roberto; emiggomez; Silverio Murillo, Adan; Baranda, Bernardo; Escuela de Gobierno y Transformación Pública; Sede EGADE Monterrey
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.

Ciencias Sociales

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