Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/32678
Title: Is the time-varying parameter model the preferred approach to tourism demand forecasting? Statistical evidence
Authors: Shen, S
Li, G
Song, H 
Issue Date: 2009
Publisher: Physica-Verlag
Source: In A Matias, P Nijkamp & M Sarmento (Eds.), Advances in tourism economics : new developments, p. 107-120. Heidelberg: Physica-Verlag, 2009 How to cite?
Abstract: This study is one of the first attempts to apply rigorous statistical tests to examine whether a significant difference exists in the forecast accuracy between alternative models in the context of tourism demand forecasting. Two econometric models have been analysed in this study: the traditional regression-based static model and the TVP model. The empirical results show that the TVP model performs well in forecasting the demand for Thai tourism by tourists from seven origin countries. The TVP model outperforms its fixed-parameter counterpart in forecasting the demand for Thai tourism by all of the origin countries at different forecasting horizons. This study provides robust empirical evidence of the superiority of the TVP model. The results suggest that by taking into account the possibility of parameter changes in the demand model, forecast accuracy can be significantly improved. This conclusion is drawn based on the current empirical study, and further examination of this issue using different datasets is recommended.
URI: http://hdl.handle.net/10397/32678
ISBN: 9783790821246
9783790821239 (hbk.)
3790821233 (hbk.)
DOI: 10.1007/978-3-7908-2124-6_7
Appears in Collections:Book Chapter

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