Abstract
The paper uses Structural time series models to forecast the demand for tourism by nationality in coastal and city-dominated Spanish provinces. Intervention variables are introduced to take account of sudden shocks to tourism demand, such as the bombing of Libya and football's World Cup. The model demonstrates the considerable differences in demand by nationality, and in seasonality, which can occur at the subnational level. The Structural model generally provided more accurate forecasts than Box-Jenkins models. The results indicate that, ceteris paribus, the tourism demand growth rates in the Spanish provinces considered are unlikely to revert to their previous high levels.
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References
Archer, B. H. 1977.Tourism multipliers: the state of the art. Bangor Occasional Papers in Economics 11. Bangor: The University of Wales Press.
Box, G. E. P. and Jenkins, G. M. 1970.Time series analysis: forecasting and control. San Francisco: Holden-Day.
Box, G. E. P. and Tiao, G. C. 1975. Intervention analysis with applications to economic and environmental problems.Journal of the American Statistical Association 70: 70–9.
Diebold, F. X. 1989. Structural time series analysis and modelling package: a review.Journal of Applied Econometrics 4: 195–204.
Granger, C. W. J. and Newbold, P. 1986.Forecasting economic time series 2nd edition. London: Academic Press.
Harvey, A. C. 1984. A unified view of statistical forecasting procedures (with discussion).Journal of Forecasting 3: 245–83.
Harvey, A. C. and Durbin, J. 1986. The effect of seat belt legislation on British road casualties: a case study in structural time series modelling.Journal of the Royal Statistical Society. Series A 149: 187–227.
Harvey, A. C. and Todd, P. H. J. 1983. Forecasting economic time series with structural and Box-Jenkins models: a case study.Journal of Business and Economic Statistics 1: 299–315.
Henderson, D. M. and Cousins, R. L. 1975.The economic impact of tourism: a case study in Greater Tayside. Tourism and Recreation Research Unit. Research Report 13. Edinburgh: University of Edinburgh.
Instituto Nacional de Estadistica. 1966–88.Movimiento de viajeros en establecimientos turisticos. Madrid: I.N.E.
Peters, S., Pesaran, B. and Harvey, A. C. 1988.Structural time series analyser, modeller and predictor—STAMP. London: ESRC Centre in Economic Computing, London School of Economics.
Sinclair, M. T. and Sutcliffe, C. M. S. 1988. The estimation of Keynesian income multipliers at the sub-national level.Applied Economics 20: 1435–44.
Witt, S. F. and Martin, C. A. 1989a. Demand forecasting in tourism and recreation. InProgress in tourism, recreation and hospitality management, ed. C. P. Cooper, London and New York: Belhaven, pp. 4–32.
Witt, S. F. and Martin, C. A. 1989b. Forecasting tourism demand: a comparison of the accuracy of several quantitative methods.International Journal of Forecasting 5: 7–19.
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Clewer, A., Pack, A. & Sinclair, M.T. Forecasting models for tourism demand in city dominated and coastal areas. Papers of the Regional Science Association 69, 31–42 (1990). https://doi.org/10.1007/BF01933894
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DOI: https://doi.org/10.1007/BF01933894