Abstract
Eighty-four post-1990 empirical studies of international tourism demand modeling and forecasting using econometric approaches are reviewed. New developments are identified, and it is shown that applications of advanced econometric methods improve the understanding of international tourism demand. An examination of the 22 studies that compare forecasting performance suggests that no single forecasting method can outperform the alternatives in all cases. The time-varying parameter (TVP) model and structural time-series model with causal variables, however, perform consistently well.
Original language | English |
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Pages (from-to) | 82-99 |
Number of pages | 18 |
Journal | Journal of Travel Research |
Volume | 44 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Jan 2005 |
Keywords
- Forecasting
- Modeling
- Tourism demand
ASJC Scopus subject areas
- Geography, Planning and Development
- Transportation
- Tourism, Leisure and Hospitality Management