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Keywords: Airbnb, Count Regression, Text Mining
This study investigates the booking determinants of “sharing economy” based accommodation rentals through an analysis of Airbnb properties collected for seven cities from three countries. Poisson, Quasi-Poisson and Negative-Binomial Regressions were built using 20 variables from six categories. Our study is among the first to examine the determinants of a successful Airbnb booking across different cities and will initiate a series of further research in collaborative consumption.