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Insights from analysing tourist expenditure using quantile regression
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Orientador(es)
Resumo(s)
Mature tourism destinations are increasingly needing to diversify their products and markets. To
be successful, such strategies require a very detailed understanding of potential tourists’ levels and
patterns of spending. Empirical studies of tourist expenditure have tended to employ ordinary least
squares regression for this purpose. There are, however, a number of important limitations to this
technique, chief among which is its inability to distinguish between tourists who have higher- and
lower-than-average levels of spending. As such, some researchers recommend the use of an
alternative estimation technique, known as quantile regression, which does allow such distinctions
to be made. This study uses a single data set, collected among rural tourists in Madeira, to analyse
the determinants of tourist expenditure using both techniques. This enables direct comparison to
be made and illustrates the additional insights to be gained using quantile regression.
Descrição
Palavras-chave
Determinants Expenditure levels Expenditure patterns Madeira (Portugal) Quantile regression . Faculdade de Ciências Sociais
Contexto Educativo
Citação
Almeida, A., & Garrod, B. (2016). Insights from analysing tourist expenditure using quantile regression. Tourism Economics, 23(5), 1138-1145.
Editora
SAGE Publications