An innovative regime switching model to forecast Taiwan tourism demand

Kun-Huang Huarng, Tiffany Hui-Kuang Yu and Francesc Solé Parellada

The Service Industries Journal, 2010, vol. 31, issue 10, 1603-1612

Abstract: The tourism industry has become a major part of economic development for many countries. These countries have greatly invested in tourism to attract more tourist arrivals. Hence, the need for more accurate forecasts of tourism demand is important. Various approaches have been applied to forecast tourism demand of different countries. However, tourism demands tend to be imprecise and their trends nonlinear. In addition, there may be drastic changes in the tourism demand time series. To properly handle these problems, this study proposes an innovative forecasting model to detect the regime switching properly and to apply fuzzy time-series model to forecast. The monthly tourist arrivals to Taiwan will be used as forecasting target. The analysis by the proposed model will be validated by the major events as well as previous studies.

Date: 2010
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DOI: 10.1080/02642069.2010.485637

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