Skewed Binary Regression to Study Rental Cars by Tourists in the Canary Islands

Tourism is one of the economic sectors that contributes most to gross domestic product in many countries, moving, turn, other such as transport. In particular, automotive industry constitutes an subsector moves vast amounts money. Concerning tourism and transport sectors, car rental a crucial element contributing considerably job creation. Due effects vehicle seems have on various it interesting know why tourist chooses rent during their vacation specific destination. This work aims study those factors can be considered relevant affect probability renting vehicle. The document addressed following research topics: (a) identifying significant variables; (b) information these help firms? Empirically, shown more tourists do not this fact has considered. Thus, classical logistic Bayesian regression models seem adequate case, so authors will consider asymmetric model. analyzes 28,235 who visited Canary Islands 2017. From point view, logistics chosen best model because detects development seen by standard regressions. light document’s findings, practice recommendations improve decision-making field. logit link helpful device companies make decisions about clients.