This article presents a regression model relating tourism expenditures in a city to gasolineprices and othereconomic variables. The advantages ofsuch a model, as opposed to surveys and time-series models, for analyzing the consequences of oil price shocks are discussed in general. Also, actual estimation results for the model are examined and compared to previous studies. The results show tourism expenditures significantly related to lagged gasoline prices and employment levels.
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