The influence of Airbnb on hotel occupancy in Mexico: a Big Data Analysis

Narciso Salvador Tinoco Guerrero, Mario Gómez Aguirre, Luis Manuel Tinoco Guerrero


The main objective of this paper is to analyze the influence that the usage of the Airbnb’s platform has had on hotel occupancy in Mexico during 2007-2018 period. The Hotel Classification System is considered to know if there are differences in this influence, according to hotels’ category. To obtain the information from Airbnb, an application was created that extracted the public information of each lodging published on the website. Results were estimated by using the panel data econometric methodology, showing that the only ne-gative impact the usage of Airbnb has on hotel occupancy is in 4-star hotels, and that an increase in the price of Airbnb’s lodgings produces a rise in hotel occupancy. In other hotel categories there is no negative effect. An implication is that the usage of platforms like the one studied can be moderately regulated in Mexico.

Palabras clave

Sharing Economies; Airbnb; Big Data; Econometric Analysis; Panel Data

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