Predicting random level and seasonality of hotel prices. A structural equation growth curve approach
AbstractThis 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.
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Bibliographic InfoPaper provided by Department of Economics, University of Girona in its series Working Papers of the Department of Economics, University of Girona with number 1.
Date of creation: Mar 2001
Date of revision:
Hedonic functions; hotel pricing; growth curve models; random-effect models; structural equation models;
Find related papers by JEL classification:
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
- L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Recreation; Tourism
This paper has been announced in the following NEP Reports:
- NEP-ALL-2002-04-25 (All new papers)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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