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Destination and Seasonality Valuations: A Quantile Approach

Author

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  • Josep Raya Vilchez

    (Escola Universitaria del Maresme- Tecnocampus Mataró Maresme, UniversitatPompeuFabra, c/ErnestLluch32, 08302 Mataró (Barcelona), Spain)

Abstract

The aim of this paper is to provide information for tourist destinations through an analysis of the valuation of the location and the seasonality implicit in the price of accommodation. The study data are from European municipalities on the Mediterranean coast. Using quantile regression (that is, taking into account that demand valuation can vary along the hotel price distribution), the author finds that the effect of seasonality, although very important, is mainly constant along the price distribution, with the exception of the greater seasonality effect in Argelès-sur-Mer at higher percentiles. With regard to the valuation of location, the fact of the hotel or the apartment being in a French location is valued more highly at higher percentiles.

Suggested Citation

  • Josep Raya Vilchez, 2013. "Destination and Seasonality Valuations: A Quantile Approach," Tourism Economics, , vol. 19(4), pages 835-853, August.
    • Handle: RePEc:sae:toueco:v:19:y:2013:i:4:p:835-853
    DOI: 10.5367/te.2013.0297
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    References listed on IDEAS

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    Cited by:

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    2. Jose Torres-Pruñonosa & Pablo García-Estévez & Camilo Prado-Román, 2021. "Artificial Neural Network, Quantile and Semi-Log Regression Modelling of Mass Appraisal in Housing," Mathematics, MDPI, vol. 9(7), pages 1-16, April.
    3. Hernández, Juan M. & Suárez-Vega, Rafael & Santana-Jiménez, Yolanda, 2016. "The inter-relationship between rural and mass tourism: The case of Catalonia, Spain," Tourism Management, Elsevier, vol. 54(C), pages 43-57.

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