Forecasting tourist arrivals to Turkey

Yılmaz, Engin (2015): Forecasting tourist arrivals to Turkey. Published in: Tourism: An International Interdisciplinary Journal , Vol. 64, No. 4 (28 December 2015): pp. 435-445.

Abstract

Modeling and forecasting techniques of the tourist arrivals are many and diverse. Th ere is no unique model that exactly outperforms the other models in every situation. Actually a few studies have realized modeling and forecasting the tourist arrivals to Turkey and these studies have not focused on the total tourist arrivals. Th ese studies have focused on the tourist arrivals to Turkey country by country (or OECD countries). In addition to this, structural time series models have not been used in modeling and forecasting the tourist arrivals to Turkey. In this sense, this paper is the fi rst study which uses the seasonal autoregressive integrated moving average model and the structural time series model in order to forecast the total tourist arrivals to Turkey. Two diff erent models are developed to forecast the total tourist arrivals to Turkey using monthly data for the period 2002-2013. Th e results of the study show that two models provide accurate predictions but the seasonal autoregressive integrated moving average model produces more accurate short-term forecasts than the structural time series model. It is noted that the seasonal autoregressive integrated moving average model shows a very successful performance in the forecasting the total tourist arrivals to Turkey.

• Item Type: MPRA Paper
• Language: English
• Keywords: structural time series models; arima; tourist arrivals; tourist demand; Turkey
• Subjects: C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods ; Simulation Methods

References

Akal, M. (2003). Forecasting Turkey's Tourism Revenues by Armax Model. Tourism Management, 25(5), 565-580.

Akın, M. (2015). A Novel Approach to Model Selection in Tourism Demand Modeling. Tourism Management, 48(June).

Akis, S. (1998). A Compact Econometric Model of Tourism Demand for Turkey. Tourism Management, 19(1), 99-102.

Aktürk, T. & Küçüközmen, C.C. (2006). Tourism Demand for Turkey. Journal of Institute of Applied Mathematics.

Aslan, A., Kaplan, M. & Kula, F. (2008). International Tourism Demand for Turkey. Munich Personal Repec Archive.

Athanasopoulos, G., Hyndman, R. J., Song, H. & Wu, D. C. (2011). The Tourism Forecasting Competition.International Journal of Forecasting, 27(3).

Chu, F. L. (2008a). Analyzing and Forecasting Tourism Demand with ARAR Algorithm. Tourism Management, 29(6), 1185-1196.

Chu, F. L. (2008b). A Fractionally Integrated Autoregressive Moving Average Approach to Forecasting Tourism Demand.Tourism Management, 29, 79-88.

Coshall, J. T. (2008). Combining Volatility and Smoothing Forecast of UK Demand for International Tourism. Tourism Management, 30(4), 495-511.

Göçer, I. & Göçmüş, S. (2010). The Socio-Economic Determinant of Tourism Demand in Turkey: A Panel Data Approach. International Research Journal of Finance and Economics, 55.

Goh, C. & Law, R. (2011). The Methodological Progress of Tourism Demand Forecasting: A Review of Related Literature. Journal of Travel & Tourism Marketing, 28(3).

Gomez, V. & Maravall, A. (1999). Automatic Modelling Methods for Univariate Series, A course in Time Series Analysis. New York: J. Wiley and Sons.

Gomez, V. & Maravall, A. (1994). Estimation, Prediction and Interpolation for Nonstationary Series with the Kalman Filter. Journal of the American Statistical Association, 89, 611-624.

Gomez, V., Maravall, A. & Pena, D. (1999). Missing Observations in 41 ARIMA Models: Skipping Approach versus Additive Outlier Approach. Journal of Econometrics, 88, 341-364.

Greenidge, K. (2001). Forecasting Tourism Demand: An STM Approach. Annals of Tourism Research, 28, 98-112.

Greenidge, K. & Jackman, M. (2010). Modelling and Forecasting Tourist Flows to Barbados Using Structural Time Series Models. Tourism and Hospitality Research, January.

Halıcıoğlu, F. (2004). An ARDL Model of Aggregate Tourism Demand for Turkey. Global Business and Economics Review, 614–624.

Harvey, A. C. (1989). Forecasting, Structural Time Series Models and the Kalman Filter. Cambridge: Cambridge University Press.

Hassani, H., Silva. E., Antonakakis, N., Filis, G. & Gupta, R. (2015). Forecasting Accuracy Evaluation of Tourist Arrivals: Evidence from Parametric and Non-Parametric Techniques. Working Papers (Department of Economics) University of Pretoria.

Kim, J. H. & Moosa, I. A. (2001). Seasonal Behaviour of Monthly International Tourist Flows: Specifi cation and Implications for Forecasting Models. Tourism Economics, 7, 381-396.

Koopman, S. & Ooms, M. (2006). Forecasting Daily Time Series Using Periodic Unobserved Components Time Series Models. Computational Statistics & Data Analysis, 51(2), 885-903.

Koopman, S., Harvey, A. C. & Doornik, J. (2000). STAMP 6.0. London: Timberlake Consultans.

Kulendran, N. & King, M. L. (1997). Forecasting International Quarterly Tourist Flows Using Error-Correction and Time- Series Models. International Journal of Forecasting, 13, 319-327.

Kulendran, N. & Witt, S. F. (2001). Cointegration versus Least Squares Regression. Annals of Tourism Research, 28(2), 291-311.

LaCalle, J. L. (2014). 101 Variations on a Maximum Likelihood Procedure for a Structural Time Series Model. Working Papers. Retrieved from jalobe.com:8080/doc/bsm.airp-wp.pdf.

Lee, C. K., Song, H. J., & Mjelde, J. W. (2008). The Forecasting of International Expo Tourism Using Quantitative and Qualitative Techniques. Tourism Management, 29(6), 1084-1098.

Li, G., Song, H. & Witt, S. F. (2005). Recent Developments in Econometric Modeling and Forecasting. Journal of Travel Research, 44(1).

Lim, C. (1997). Review of International Tourism Demand Models. Annals of Tourism Research, 24(4), 835-849.

Preez, J. & Witt, S. F. (2003). Univariate versus Multivariate Time Series Forecasting: An Application to International Tourism Demand. International Journal of Forecasting, 19, 435-451.

Republic of Turkey Ministry of Culture and Tourism, General Directorate of Investment and Enterprises. (2014). The Statistics of Arriving-Departing Visitors. Retrieved from http://www.kultur.gov.tr/EN,36568/number-of-arrivingdeparting- visitors-foreigners-and-ci-.html.

Song, H. & Li, G. (2008). Tourism Demand Modelling and Forecasting. Tourism Management, 29(2).

Torra, S. & Claveria, O. (2014). Forecasting tourism demand to Catalonia: Neural Networks vs. Time Series Models. Economic Modelling, 36(January), 220–228.

Turner, L. W. & Witt, S. (2001). Forecasting Tourism Using Univariate and Multivariate Structural Time Series Models. Tourism Economics, 7(2), 135-147.

UNWTO. (2014). UNWTO Tourism Highlights. 2014 Edition.

Witt, S. F. & Witt, C. A. (1995). Forecasting Tourism Demand: A Review of Empirical Research. International Journal of Forecasting, 11, 447–475.

Wong, K., Song, H., Witt, S. F. & Wu, D. C. (2007). Tourism Forecasting: to Combine or Not to Combine? Tourism Management, 28, 1068-1078.

WTTC. (2015). Travel and Tourism: Economic Impact 2015: Turkey. WTTC Travel and Tourism: Economic Impact 2015.