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A note on forecasting international tourism demand in Spain

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  • Garcia-Ferrer, Antonio
  • Queralt, Ricardo A.

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  • Garcia-Ferrer, Antonio & Queralt, Ricardo A., 1997. "A note on forecasting international tourism demand in Spain," International Journal of Forecasting, Elsevier, vol. 13(4), pages 539-549, December.
    • Handle: RePEc:eee:intfor:v:13:y:1997:i:4:p:539-549
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    References listed on IDEAS

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    1. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    2. Witt, Stephen F. & Witt, Christine A., 1995. "Forecasting tourism demand: A review of empirical research," International Journal of Forecasting, Elsevier, vol. 11(3), pages 447-475, September.
    3. Muscatelli, Vito Antonio & Hurn, A Stan, 1992. "Cointegration and Dynamic Time Series Models," Journal of Economic Surveys, Wiley Blackwell, vol. 6(1), pages 1-43.
    4. Gonzalez, Pilar & Moral, Paz, 1995. "An analysis of the international tourism demand in Spain," International Journal of Forecasting, Elsevier, vol. 11(2), pages 233-251, June.
    5. Armstrong, J. Scott & Collopy, Fred, 1992. "Error measures for generalizing about forecasting methods: Empirical comparisons," International Journal of Forecasting, Elsevier, vol. 8(1), pages 69-80, June.
    6. Fildes, Robert, 1992. "The evaluation of extrapolative forecasting methods," International Journal of Forecasting, Elsevier, vol. 8(1), pages 81-98, June.
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    Cited by:

    1. Gustavsson, Patrik & Nordström, Jonas, 1999. "The Impact of Seasonal Unit Roots and Vector ARMA Modeling on Forecasting Monthly Tourism Flows," Working Paper Series 150, Trade Union Institute for Economic Research, revised 01 Jul 2000.
    2. du Preez, Johann & Witt, Stephen F., 2003. "Univariate versus multivariate time series forecasting: an application to international tourism demand," International Journal of Forecasting, Elsevier, vol. 19(3), pages 435-451.
    3. Luis A Gil-Alana & à gueda Gil-López & Elena San Román, 2021. "Tourism persistence in Spain: National versus international visitors," Tourism Economics, , vol. 27(4), pages 614-625, June.
    4. Pulina, M. & O'Brien, R.J., 2002. "Monthly, annual and quarterly frequencies: a comparison of models for tourism in Sardinia and bounded rationality," Discussion Paper Series In Economics And Econometrics 0206, Economics Division, School of Social Sciences, University of Southampton.
    5. Guizzardi, Andrea & Mazzocchi, Mario, 2010. "Tourism demand for Italy and the business cycle," Tourism Management, Elsevier, vol. 31(3), pages 367-377.
    6. Luis Alberiko Gil-Alaña, 2010. "Tourism in South Africa. Time series persistence and the nature of shocks. Are they transitory or permament?," NCID Working Papers 06/2011, Navarra Center for International Development, University of Navarra.
    7. Elisa Jorge-González & Enrique González-Dávila & Raquel Martín-Rivero & Domingo Lorenzo-Díaz, 2020. "Univariate and multivariate forecasting of tourism demand using state-space models," Tourism Economics, , vol. 26(4), pages 598-621, June.
    8. Juncal Cuñado & Alberiko Gil-Alana, Luis & Perez De Gracia, Fernando, 2011. "Modelling International Monthly Tourist in Spain/Modelización de llegadas mensuales de turistas a España," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 29, pages 723-736, Diciembre.
    9. Helena Nemec Rudež, 2020. "Is International Tourism Growth Supported by Increased Tourism Receipts?," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 13(2), pages 153-156.
    10. Coshall, John T. & Charlesworth, Richard, 2011. "A management orientated approach to combination forecasting of tourism demand," Tourism Management, Elsevier, vol. 32(4), pages 759-769.
    11. Jesús Iglesias & Manuel E Gegundez & Antonio A Golpe & José Carlos Vides, 2018. "How do foreign income shocks affect the magnitude of Spanish tourism?," Tourism Economics, , vol. 24(7), pages 839-871, November.
    12. Helena Nemec Rudež, 2020. "Is International Tourism Growth Supported by Increased Tourism Receipts?," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 13(2), pages 153-156.
    13. Brida, Juan Gabriel & Risso, Wiston Adriàn & Carrera, Edgar J. Sanchez, 2007. "A Long-run Equilibrium Demand Function: Tourism in Mexico," MPRA Paper 25375, University Library of Munich, Germany, revised 25 Jan 2008.
    14. Nicholas Apergis & Andrea Mervar & James E. Payne, 2017. "Forecasting disaggregated tourist arrivals in Croatia," Tourism Economics, , vol. 23(1), pages 78-98, February.
    15. Garcia-Ferrer, A. & de Juan, A. & Poncela, P., 2006. "Forecasting traffic accidents using disaggregated data," International Journal of Forecasting, Elsevier, vol. 22(2), pages 203-222.
    16. Grubb, Howard & Mason, Alexina, 2001. "Long lead-time forecasting of UK air passengers by Holt-Winters methods with damped trend," International Journal of Forecasting, Elsevier, vol. 17(1), pages 71-82.
    17. Song, Haiyan & Qiu, Richard T.R. & Park, Jinah, 2019. "A review of research on tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 75(C), pages 338-362.
    18. Brannas, Kurt & Hellstrom, Jorgen & Nordstrom, Jonas, 2002. "A new approach to modelling and forecasting monthly guest nights in hotels," International Journal of Forecasting, Elsevier, vol. 18(1), pages 19-30.
    19. Georgios Gatopoulos & Helen Gazopoulou & George A. Zombanakis, 2020. "Assessing the Impact of Domestic Economic Crises on Foreign Travel Data Recording: The Greek Case," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 327-339.
    20. Mavri, Maria & Angelis, Vasilis, 2009. "Forecasting the Growth of e-Tourism Sector: The Case Study of Mediterranean Countries," MPRA Paper 25439, University Library of Munich, Germany, revised 25 Aug 2009.
    21. Jian-Wu Bi & Tian-Yu Han & Yanbo Yao, 2024. "Collaborative forecasting of tourism demand for multiple tourist attractions with spatial dependence: A combined deep learning model," Tourism Economics, , vol. 30(2), pages 361-388, March.

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