Modeling tourism flows through gravity models: A quantile regression approach

Santeramo, Fabio Gaetano and Morelli, Mariangela (2015): Modeling tourism flows through gravity models: A quantile regression approach. Forthcoming in: Current Issues in Tourism

Abstract

Gravity models are widely used to study tourism flows. The peculiarities of the segmented international demand for agritourism in Italy is examined by means of novel approach: a panel data quantile regression. We characterize the international demand for Italian agritourism with a large dataset, by considering data of thirty-three countries of origin, from 1998 to 2010. Distance and income are 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.

• Item Type: MPRA Paper
• Language: English
• Keywords: Flows, Arrivals, Agritourism, Gravity, PPML, Quantile Regression
• Subjects: F - International Economics > F2 - International Factor Movements and International Business > F22 - International Migration; L - Industrial Organization > L8 - Industry Studies: Services > L83 - Sports ; Gambling ; Restaurants ; Recreation ; Tourism; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1 - Agriculture > Q18 - Agricultural Policy ; Food Policy; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1 - Agriculture > Q19 - Other; R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R2 - Household Analysis > R23 - Regional Migration ; Regional Labor Markets ; Population ; Neighborhood Characteristics

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