Modelling tourism flows through gravity models: a quantile regression approach

Fabio Santeramo and Mariangela Morelli

Current Issues in Tourism, 2016, vol. 19, issue 11, 1077-1083

Abstract: Gravity models are widely used to study tourism flows. The peculiarities of the segmented international demand for agritourism in Italy are examined by means of a novel approach: a panel data quantile regression. We characterize the international demand for Italian agritourism with a large data set, by considering data of 33 countries of origin, from 1998 to 2010. Distance and income are the major determinants, but we also found that mutual agreements and high urbanization rates in countries of origin are associated with larger flows of incoming tourists.

Date: 2016
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Working Paper: Modeling tourism flows through gravity models: A quantile regression approach (2015)
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DOI: 10.1080/13683500.2015.1051518

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