Autor/a

DAVID BOTO GARCÍA (University of Oviedo)

Coautor/es

José Baños Pino (Universidad de Oviedo)

ANTONIO ÁLVAREZ (University of Oviedo)

This article analyses tourists’ length of stay in a particular destination using a Hurdle Count Data model that allows us to firstly identify the determinants of the decision to be a same-day visitor or a tourist, and then explain the length of stay of those who actually stay for more than a day. Apart from sociodemographic characteristics, we are interested in the effects of distance, mode of transport and some relevant destination attributes of the destination such as tranquillity, natural environment or climate. Another feature this paper addresses is how advertising, recommendations and previous experience at the destination affect both the probability of an overnight stay and the length of the stay. The results indicate that the determinants of the decision to stay overnight and how long to stay are not the same. Besides, a positive previous experience and having seen advertising of the destination positively affect the decision to sleep at the destination and the number of days.

Palabras clave: length of stay, tourist´s decision-making, conditional demand, Hurdle Negative Binomial model