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Predicting random level and seasonality of hotel prices. A structural equation growth curve approach

This article examines the effect on price of different characteristics of holiday hotels in the sun-and-beach segment, under the hedonic function perspective. Monthly prices of the majority of hotels in the Spanish continental Mediterranean coast are gathered from May to October 1999 from the tour operator catalogues. Hedonic functions are specified as random-effect models and parametrized as structural equation models with two latent variables, a random peak season price and a random width of seasonal fluctuations. Characteristics of the hotel and the region where they are located are used as predictors of both latent variables. Besides hotel category, region, distance to the beach, availability of parking place and room equipment have an effect on peak price and also on seasonality. 3- star hotels have the highest seasonality and hotels located in the southern regions the lowest, which could be explained by a warmer climate in autumn

Universitat de Girona. Departament d’Economia

Altres contribucions: Universitat de Girona. Departament d’Economia
Autor: Coenders, Germà
Espinet i Rius, Josep Maria
Sáez Zafra, Marc
Data: març 2001
Resum: This article examines the effect on price of different characteristics of holiday hotels in the sun-and-beach segment, under the hedonic function perspective. Monthly prices of the majority of hotels in the Spanish continental Mediterranean coast are gathered from May to October 1999 from the tour operator catalogues. Hedonic functions are specified as random-effect models and parametrized as structural equation models with two latent variables, a random peak season price and a random width of seasonal fluctuations. Characteristics of the hotel and the region where they are located are used as predictors of both latent variables. Besides hotel category, region, distance to the beach, availability of parking place and room equipment have an effect on peak price and also on seasonality. 3- star hotels have the highest seasonality and hotels located in the southern regions the lowest, which could be explained by a warmer climate in autumn
Format: application/pdf
Cita: Coenders, G.; Espinet, J.M.; Sáez, M. Predicting random level and seasonality of hotel prices. A structural equation growth curve approach. Girona: Universitat de Girona. Departament d’Economia, 2001. (Documents de Treball; 1). Disponible a Internet a: http://hdl.handle.net/10256/275
Altres identificadors: DL Gi.472-2002
Accés al document: http://hdl.handle.net/10256/275
Llenguatge: eng
Editor: Universitat de Girona. Departament d’Economia
Col·lecció: info:eu-repo/semantics/altIdentifier/issn/1579-475X
Drets: Aquest document està subjecte a una llicència Creative Commons: Reconeixement – No comercial – Sense obra derivada (by-nc-nd)
URI Drets: http://creativecommons.org/licenses/by-nc-nd/3.0/deed.ca
Matèria: Preus de cost -- Control -- Models economètrics
Creixement -- Models matemàtics
Títol: Predicting random level and seasonality of hotel prices. A structural equation growth curve approach
Tipus: info:eu-repo/semantics/workingPaper
Repositori: DUGiDocs

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