The authors look at eight models to forecast inbound tourist arrivals to Singapore, six of which were analyzed by Chan and by Chu. The authors explore model performance from a different perspective than either of these authors and arrive at different conclusions. Major suggestions are as follows: (1) a complete comparison among competing models during the estimation phase and a battery of performance statistics when evaluating these models sheds light on several top-performing models; (2) when evaluating the forecasting performance of competing models, different performance statistics may lead to different model selections; (3) among competing models, a model that performs best during the within-sample period does not necessarily perform best in the postsample period; (4) changing the length of the forecast horizon can have an effect on the choice of the best model; and (5) a combined model may be the one that provides the best forecasting performance.
Archer, B. H. (1977). Tourism Multipliers: The State of the Art. Bangor Occasional Papers in Economics. No. 11. Bangor: University of Wales Press.
2.
Armstrong, J. Scott (2001). “Combining Forecasts.” In Principles of Forecasting: A Handbook for Researchers and Practitioners, edited by J. Scott Armstrong.Boston: Kluwer, pp. 417-439.
3.
Calantone, R. J., C. A. Di Benedetto, and D. Bojanic (1987). “A Comprehensive Review of the Tourism Forecasting Literature.”Journal of Travel Research, 26 (2): 28-39.
4.
Chan, Y. M. (1993). “Forecasting Tourism: A Sine Wave Time Series Regression Approach.”Journal of Travel Research, 32: 58-60.
5.
Cho, V. (2003). “A Comparison of Three Different Approaches to Tourist Arrival Forecasting.”Tourism Management, 23: 323-330.
6.
Chu, F. L. (1998a). “Forecasting Tourist Arrivals: Nonlinear Sine Wave or ARIMA?”Journal of Travel Research, 36: 79-84.
7.
Chu, F. L. (1998b). “Forecasting Tourism Demand in Asian-Pacific Countries.”Annals of Tourism Research, 25: 597-615.
8.
Clemen, R. T. (1989). “Combining Forecasts: A Review and Annotated Bibliography.”International Journal of Forecasting, 5: 559-583.
9.
Dharmaratne, C. S. (1995). “Forecasting Tourist Arrivals in Barbados.”Annals of Tourism Research, 22 (4): 804-818.
10.
Diebold, F. X. (1998). Elements of Forecasting. Cincinnati, OH: South-Western College.
11.
Eadington, W., and M. Redman (1991). “Economics and Tourism.”Annals of Tourism Research, 18: 41-56.
12.
Enders, W. (2004). Applied Econometric Time Series. New York: John Wiley.
13.
Frechtling, Douglas C. (2001). Forecasting Tourism Demand: Methods and Strategies. Oxford, UK: Butterworth Heinemann.
14.
Frechtling, D. C., and E. Horvath (1999). “Estimating the Multiplier Effects of Tourism Expenditures on a Local Economy through a Regional Input-Output Model.”Journal of Travel Research, 37: 324-332.
15.
Greenidge, K. (2001). “Forecasting Tourism Demand: An STM Approach.”Annals of Tourism Research, 28: 98-112.
16.
Kulendran, N., and M. L. King (1997). “Forecasting International Quarterly Tourist Flows Using Error Correction and Time-Series Models.”International Journal of Forecasting, 13: 319-327.
17.
Kulendran, N., and J. Shan (2002). “Forecasting China’s Monthly Inbound Travel Demand.” In Tourism Forecasting Marketing, edited by K. K. F. Wong and H. Song.New York: Haworth, pp. 5-19.
18.
Kulendran, N., and K. Wilson (2000). “Modeling Business Travel.”Tourism Economics, 6 (1): 47-59.
19.
Kulendran, N., and S. F. Witt (2001). Cointegration Versus Least Squares Regression.”Annals of Tourism Research, 28 (2): 291-311.
20.
Kulendran, N., and S. F. Witt (2003a). “Leading Indicator Tourism Forecasts.”Tourism Management, 24: 503-510.
21.
Kulendran, N., and S. F. Witt (2003b). “Forecasting the Demand for International Business Tourism.”Journal of Travel Research, 41: 265-271.
22.
Louvieris, P. (2002). “Forecasting International Tourism Demand for Greece: A Contingency Approach.” In Tourism Forecasting Marketing, edited by K. K. F. Wong and H. Song.New York: Haworth, pp. 21-41.
23.
Makridakis, S., and R. Winkler (1983). “Average of Forecasts: Some Empirical Results.”Management Science, 29: 987-996.
24.
Martin, C. A., and S. F. Witt (1989). “Accuracy of Econometric Forecasts of Tourism.”Annals of Tourism Research, 16: 407-428.
25.
Milne, S. S. (1987). “Differential Multipliers.”Annals of Tourism Research, 14 (4): 499-515.
26.
Newbold, P., and T. Bos (1994). Introductory Business and Economic Forecasting. Cincinnati, OH: South-Western College.
27.
Sheldon, J. S. (1993). “Forecasting Tourism: Expenditures versus Arrivals.”Journal of Travel Research, 32: 13-20.
28.
Singapore Tourist Promotion Board. (Various years). Annual Statistical Report on Visitor Arrivals to Singapore.
29.
Song, H., and S. F. Witt (2000). Tourism Demand Modeling and Forecasting: Modern Econometric Approaches. Oxford, UK: Elsevier Science.
30.
Song, H., and K. K. F. Wong (2003). “Time Demand Modeling: A Time-Varying Parameter Approach.”Journal of Travel Research, 42: 57-64.
31.
Turner, L. W., and S. F. Witt (2001). “Forecasting Tourism Using Univariate and Multivariate Structural Time Series Models.”Tourism Economics, 7 (2): 135-147.
32.
Uysal, M., and J. Crompton (1985). “An Overview of Approaches Used to Forecast Tourism Demand.”Journal of Travel Research, 23: 7-15.
33.
Webber, A. G. (2001). “Exchange Rate Volatility and Cointegration in Tourism Demand. Journal of Travel Research, 39: 398-405.
34.
Witt, S. F., Newbould, G. D., and A. J. Watkins (1992). “Forecasting Domestic Tourism Demand: Application to Las Vegas Arrivals Data.”Journal of Tourism Research, 31: 36-41.
35.
Witt, S. F., Song, H., and P. Louvieris (2003). “Statistical Testing in Forecasting Model Selection”. Journal of Travel Research, 42: 151-158.
36.
Witt, S. F., and C. A. Witt (1995). “Forecasting Tourism Demand: A Review of Empirical Research.”International Journal of Forecasting, 11: 447-475.
37.
Witt, S. F., and C. A. Witt (1992). Modeling and Forecasting Demand in Tourism. San Diego, CA: Academic.
38.
World Travel and Tourism Council (2002a). “The Travel and Tourism Economic Research: World.” August 22. Available at http://www.wttc.org/measure/PDF/World.pdf.
39.
World Travel and Tourism Council (2002b). “The Travel and Tourism Economic Research: Singapore.” August 22. Available at http://www.wttc.org/measure/PDF/Singapore.pdf.
