Multimethod Forecasts for Tourism Analysis

Annals of Tourism Research, Vol. 15, No. 3, pp. 387-406, 1988

Posted: 18 Apr 2006

See all articles by Roger Calantone

Roger Calantone

Michigan State University

Anthony Di Benedetto

Temple University

David Bojanic

University of Texas at San Antonio

Abstract

This paper examines the use of combined forecasting methods in tourism forecasting. The use of multiple methods allows more information to be incorporated into the forecasts. The objective of the paper is to show that forecasts of tourism arrivals obtained by combining forecasting models are more accurate (therefore more useful to practicing managers) than single-method forecasts. Several combined forecasts of tourist arrivals in Florida obtained and compared to single-method forecasts gained through econometric or time-series models. Parameter interpretation and forecasting accuracy of both combined and single-method forecasts are discussed. The conclusion of the paper offers a commentary on the usefulness of multimethod approaches to forecasting.

Keywords: Tourism forecasting, combined forecasts, econometric analysis, time-series analysis, Florida tourism

Suggested Citation

Calantone, Roger and Di Benedetto, Anthony and Bojanic, David, Multimethod Forecasts for Tourism Analysis. Annals of Tourism Research, Vol. 15, No. 3, pp. 387-406, 1988. Available at SSRN: https://ssrn.com/abstract=896112

Roger Calantone

Michigan State University ( email )

Agriculture Hall
East Lansing, MI 48824-1122
United States

David Bojanic

University of Texas at San Antonio ( email )

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