Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11755
Title: The methodological progress of tourism demand forecasting : a review of related literature
Authors: Goh, C
Law, R 
Keywords: Tourism demand modeling
Review
Econometrics
Time series
Artificial intelligence
Issue Date: 2011
Publisher: Routledge, Taylor & Francis Group
Source: Journal of travel & tourism marketing, 2011, v. 28, no. 3, p. 296-317 How to cite?
Journal: Journal of travel & tourism marketing 
Abstract: Research on modeling the estimation and forecasting of tourism demand has evolved with increasing sophistication and improved quality. In this study, 155 research papers published between 1995 and 2009 were identified and were classified into three main groups according to the methods and techniques adopted?an econometric-based approach, time series techniques, and artificial intelligence (AI)-based methods. It appears that the more advanced methods such as cointegration, error correction model, time varying parameter model, and their combinations with systems of equations produce better results in terms of forecasting accuracy. We also discuss the implications and suggest future directions of tourism research techniques and methods.
URI: http://hdl.handle.net/10397/11755
ISSN: 1054-8408
EISSN: 1540-7306
DOI: 10.1080/10548408.2011.562856
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