Waleed Said Soliman Faragalla

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In this paper, the author investigates the tourism demand function using the dynamic panel data approach in the case of Egypt. The panel data set covers the time period between 1995 and 2014. The individuals are 49 countries as origin countries for tourists, representing 92% of the total tourist arrivals to Egypt. Explanatory variables which affect the tourism demand function were taken into account: lag of dependent variable that leads to dynamic panel data approach, using DIFF-GMM estimator proposed by Arellano and Bond (1991); also, many other explanatory variables like GDP per capita, relative price index, distance, and dummy variable which represent the political situation. One of the important and significant conclusions of the paper is the significant effect of the lagged dependent variable (0.493), which may be explained as “Word of Mouth” to tourists’ decision when choosing the destination.


Dynamic panel data, Tourism demand, DIFF-GMM, Egypt

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Arellano, M. & Bond, S.R. (2007). Dynamic Panel GMM Estimators In Stata Tutorial With Examples Using Stata 9.0 (Xtabond And Xtabond2) Elitza Mileva, Economics Department Fordham University.

Arellano, M. & Bond, S.R.. (1991). Some Tests of Specification for Panel Data: Monte Carlo Evidence and An Application To Employment Equations. Review of Economic Studies 58, 277-297.

Aslan, A., Kaplan, M. & Kula, F.(2008). International Tourism Demand for Turkey: A Dynamic Panel Data Approach. Munich Personal RePEc Archive, Paper No. 10601

Blundell, R., & Bond S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics 87: 115–143.

Brida.J.G. & Risso, W.A (2009). A Dynamic Panel Data Study of the German Demand for Tourism in South Tyrol, Tourism and Hospitality Research.

Brida.J.G.& Risso, W.A (2009), A Dynamic Panel Data Study of the German Demand For Tourism In South Tyrol ,Tourism And Hospitality Research,

Crouch, G. (1994a). The Study of International Tourism Demand: A Survey of Practice, Journal of Travel Research, 22, 41–57.

Crouch, G.I (1995). A Meta-Analysis of Tourism Demand, Annals of Tourism Research, 22, 103-118.

Culiuc, A. (2014). Determinants of International Tourism. International Monterey Fund, IMF Working Paper No. 14/82

Eugenio-Martín, J. L., Morales,N.M. & Scarpa, R., (2004).Tourism And Economic Growth In Latin American Countries: A Panel Data Approach, International Conference On Tourism And Sustainable Economic Development – Macro And Micro Economic Issues Held In Sardinia, Italy.

Habibi,F. & Hossein, H. (2011). Dynamic Panel Data Analysis Of European Tourism Demand In Malaysia, Iranian Economic Review, Vol.15, No.29, Spring 2011.

Hansen,L.P. (1982).Large Sample Properties Of Generalized Method Of Moments Estimators, Econometrica, 50: 1029-1054.

Leitão, N.C. (2015). Portuguese Tourism Demand: A Dynamic Panel Data Analysis, International. Journal of Economics and Financial Issues, 2015, 5(3), 673-677.

Li, G., Wong, K. F., Song, H. & Witt, S. F. (2006). Tourism Demand Forecasting: A Time Varying Parameter Error Correction Model, Journal of Travel Research, 45, 175–185,

Lim, C. (1999). A Meta-Analytical Of International Tourism Demand, Journal of Travel Research, 37, 273-284.

Munoz, T.G. & Martin L.F., (2007). Tourism in The Baleric Islands: A Dynamic Model For International Demand Using Panel Data, Tourism Management, 28, 1224–1235.

Paulo, M., &Tiago N. (2008). Does Country Risk Influence International Tourism? A Dynamic Panel Data Analysis. The Economic Record, Vol. 84, No. 265, June, 2008, 223–236 ,

Sara A. Proença & Elias, S. (2005) Demand For Tourism In Portugal: A Panel Data Approach Centro De Estudos Da UniãoEuropeia (Ceuneurop), Faculdade De Economia Da Universida de De Coimbra.

Serra, J., Correia, A. & Rodrigues, P.M.M. (2014). A Comparative Analysis Of Tourism Destination Demand In Portugal. Journal of Destination Marketing & Management, 2, 221-227,

Skrinjaric, T. (2011). Investigation of Foreign Tourism Demand In Croatia Using Panel Data Analysis. Acta Turistica, 23(2), 105-238.

The Egyptian Cabinet, Information Decision Support Center ( IDSC), Report About Tourism Year(8), Number( 74), 2014

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

Zhang, Y. (2015). International Arrivals To Australia: Determinants And The Role Of Air Transport Policy. Journal of Air Management, 44-45, 21-24



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