The Impact of Seasonal Unit Roots and Vector ARMA Modelling on Forecasting Monthly Tourism Flows

Patrik Gustavsson and Jonas Nordström
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Patrik Gustavsson: Trade Union Institute for Economic Research, Wallingatan 38, SE-111 24 Stockholm, Sweden
Jonas Nordström: Department of Economics, Umeå University, SE-901 87 Umeå, Sweden
Authors registered in the RePEc Author Service: Jonas Nordström

Tourism Economics, 2001, vol. 7, issue 2, 117-133

Abstract: The effect of imposing different numbers of unit roots on forecasting accuracy is examined using univariate ARMA models. To see whether additional information improves forecasting accuracy and increases the informative forecast horizon, the authors cross-relate the time series for inbound tourism in Sweden for different visitor categories and estimate vector ARMA models. The mean-squared forecast error for different filters indicates that models in which unit roots are imposed at all frequencies have the smallest forecast errors. The results from the vector ARMA models with all roots imposed indicate that the informative forecast horizon is greater than for the univariate models. Out-of-sample evaluations indicate, however, that the univariate modelling approach may be preferable.

Keywords: Accommodation; Demand analysis; Forecasting; Seasonality; VARMA (search for similar items in EconPapers)
Date: 2001
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Working Paper: The Impact of Seasonal Unit Roots and Vector ARMA Modeling on Forecasting Monthly Tourism Flows (2000)
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Persistent link: https://EconPapers.repec.org/RePEc:sae:toueco:v:7:y:2001:i:2:p:117-133

DOI: 10.5367/000000001101297766

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