Combination forecasts of international tourism demand

Shen, S., Li, G. and Song, H. 2011. Combination forecasts of international tourism demand. Annals of Tourism Research. 38 (1), pp. 72-89. https://doi.org/10.1016/j.annals.2010.05.003

TitleCombination forecasts of international tourism demand
AuthorsShen, S., Li, G. and Song, H.
Abstract

This study investigates the performance of combination forecasts in the context of international tourism demand. Five econometric and two time-series models are employed to generate individual forecasts. Six combination methods are then employed, and their forecasting performance evaluated, using data on UK outbound tourism demand in seven destination countries. The results suggest that combination forecasts, in general, outperform the best individual forecasts. More sophisticated such combination methods, which take the historical performance of individual forecasts into account, perform better than the simple average technique. The performance of combination forecasts is associated with the performance consistency of the individual forecasts they include, and the inclusion of up to three individual forecasts is most likely to result in accurate combination forecasts.

JournalAnnals of Tourism Research
Journal citation38 (1), pp. 72-89
ISSN0160-7383
YearJan 2011
PublisherElsevier
Digital Object Identifier (DOI)https://doi.org/10.1016/j.annals.2010.05.003
Publication dates
PublishedJan 2011

Related outputs

The economic impact of on-screen tourism: The case of The Lord of the Rings and the Hobbit
Li, S., Li, H., Song, H., Lundberg, C. and Shen, S. 2017. The economic impact of on-screen tourism: The case of The Lord of the Rings and the Hobbit. Tourism Management. 60, pp. 177-187. https://doi.org/10.1016/j.tourman.2016.11.023

The Distributional Effect of Events on Rural and Urban Households in China
Cao, Z., Li, S., Song, H. and Shen, S. 2017. The Distributional Effect of Events on Rural and Urban Households in China. Journal of Travel Research. 56 (7), pp. 881-892. https://doi.org/10.1177/0047287516667849

New Developments in Tourism and Hotel Demand Modeling and Forecasting
Wu, D., Song, H. and Shen, S. 2017. New Developments in Tourism and Hotel Demand Modeling and Forecasting. International Journal of Contemporary Hospitality Management. 29 (1), pp. 507-529. https://doi.org/10.1108/IJCHM-05-2015-0249

The value of dedicated cyclist and pedestrian infrastructure on rural roads
Laird, J., Page, M. and Shen, S. 2013. The value of dedicated cyclist and pedestrian infrastructure on rural roads. Transport Policy. 29, pp. 86-96. https://doi.org/10.1016/j.tranpol.2013.04.004

Effect of seasonality treatment on the forecasting performance of tourism demand models
Shen, S., Li, G. and Song, H. 2009. Effect of seasonality treatment on the forecasting performance of tourism demand models. Tourism Economics. 15 (4), pp. 693-708. https://doi.org/10.5367/000000009789955116

Is the time varying parameter model favourable for tourism demand forecasting: statistical evidence
Shen, S., Li, G. and Song, H. 2009. Is the time varying parameter model favourable for tourism demand forecasting: statistical evidence. in: Matias, A., Nijkamp, P. and Sarmento, M. (ed.) Advances in tourism economics: new developments New York Springer. pp. 107-120

An assessment of combining tourism demand forecasts over different time horizons
Shen, S., Li, G. and Song, H. 2008. An assessment of combining tourism demand forecasts over different time horizons. Journal of Travel Research. 47 (2), pp. 197-207. https://doi.org/10.1177/0047287508321199

Permalink - https://westminsterresearch.westminster.ac.uk/item/8zw73/combination-forecasts-of-international-tourism-demand


Share this

Usage statistics

92 total views
0 total downloads
These values cover views and downloads from WestminsterResearch and are for the period from September 2nd 2018, when this repository was created.