Modeling tourism flows through gravity models: A quantile regression approach

Fabio Santeramo and Mariangela Morelli

MPRA Paper from University Library of Munich, Germany

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.

Keywords: Flows; Arrivals; Agritourism; Gravity; PPML; Quantile Regression (search for similar items in EconPapers)
JEL-codes: F22 L83 Q18 Q19 R23 (search for similar items in EconPapers)
Date: 2015-04-01
New Economics Papers: this item is included in nep-mig, nep-tur and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

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Related works:
Journal Article: Modelling tourism flows through gravity models: a quantile regression approach (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:64446

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