Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/213534 
Year of Publication: 
2019
Series/Report no.: 
Quaderni - Working Paper DSE No. 1137
Publisher: 
Alma Mater Studiorum - Università di Bologna, Dipartimento di Scienze Economiche (DSE), Bologna
Abstract: 
The key role played by public information in market economies is paramount. Yet, investigation on how prices are affected is hindered by intricate endogeneity and parametrization issues. This paper contributes to the literature by identifying and studying a case where public information is related to weather forecasts, in a sector (tourism) where meteorological conditions exogenously impact on both suppliers' and consumers' decisions, especially in leisure destinations. We first develop a theoretical model where forecasts affect demand and hence equilibrium prices in accommodation: an improvement in the weather forecast has a positive impact on the price, the effect being stronger the higher the level of accuracy of the forecast and the level of ex ante uncertainty in weather conditions. We then estimate an augmented hedonic price model where dynamic characteristics (typical of advanced booking strategies) are included together with information about weather forecasts. Consistent with the theory, we find that, ceteris paribus, good weather forecasts are associated to higher prices, the impact being larger the higher their level of accuracy and the higher the ex ante level of uncertainty in weather conditions.
Subjects: 
Information uncertainty
Bayesian model
Big Data
Pricing strategy
Exogenous quality
Hotels
Weather forecast
Hedonic price
JEL: 
D80
D22
L83
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc Logo
Document Type: 
Working Paper

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