FORECASTING INTERNATIONAL TOURISM DEMAND FOR ECUADOR
DOI:
https://doi.org/10.29121/granthaalayah.v5.i8.2017.2177Keywords:
Box-Jenkins, Ecuador, Tourism DemandAbstract [English]
The international tourism demand for Ecuador was forecasted in this paper, with monthly data of foreign arrivals to Ecuador for the period 2000 to 2016. The Box-Jenkins model was applied, specifically the technique called ARIMA, in order to stablish the best fit to the foreign arrivals from the monthly period from January to June of 2017. According to results, the model was no statistically significant, residual correlations problem was found.
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References
Agung, G. N.. Time Series Data Analysis Using EViews. Stat Papers, 52(2), 2009, pp.497-499. DOI: http://dx.doi.org/10.1007/s00362-009-0281-1 DOI: https://doi.org/10.1007/s00362-009-0281-1
Artus, J. An Econometric Analysis of International Travel (Analyse économétrique des voyages internationaux). Staff Papers (International Monetary Fund), 19(3), 1972, 579-614. DOI: http://dx.doi.org/10.2307/3866418 DOI: https://doi.org/10.2307/3866418
Croes, R., & Vanegas, M.. Cointegration and Causality between Tourism and Poverty Reduction. Journal of Travel Research, 47(1), 2008, 94-103.
DOI: https://doi.org/10.1177/0047287507312429 DOI: https://doi.org/10.1177/0047287507312429
Crouch, G. The Study of International Tourism Demand: A Review of Findings. Geoffrey I. Crouch, 33(1), 1994, 12-23. DOI: https://doi.org/10.1177/004728759403300102 DOI: https://doi.org/10.1177/004728759403300102
Dickey, D., & Fuller, W. Distribution of the Estimators for Autoregressive Time Series With a Unit Root. Journal of the American Statistical Association. 74(366), 1979, p.427-431. DOI: http://dx.doi.org/10.2307/2286348 DOI: https://doi.org/10.2307/2286348
Dickey, D., & Fuller, W. Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica 49(4), 1981, pp.1057–1072. DOI: http://dx.doi.org/10.2307/1912517 DOI: https://doi.org/10.2307/1912517
Downward, P., & Lumsdon, L. Beyond the Demand for Day-Visits: An Analysis of Visitor Spending. Tourism Economics, 9(1), 2003, 67-76.
DOI: https://doi.org/10.5367/000000003101298277 DOI: https://doi.org/10.5367/000000003101298277
Enders, W. Applied Econometric Time Series (4ta.ed.). Chichester, West Sussex: Jhon Wiley & Sons. 2015
Engle, R., & Granger, C. Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55(2), 1987, p.251. DOI: http://dx.doi.org/10.2307/1913236. DOI: https://doi.org/10.2307/1913236
Habibi, F., & Rahim, K. A Bound Test Approach to Cointegration of Tourism Demand. American Journal of Applied Sciences, 6(11), 2009, 363-382.
DOI: https://doi.org/10.3844/ajassp.2009.1924.1931 DOI: https://doi.org/10.3844/ajassp.2009.1924.1931
Halicioglu, F. An Econometric Analysis of the Aggregate Outbound Tourism Demand of Turkey. Tourism Economics, 16(1), 2010, 83-97. DOI: https://doi.org/10.5367/000000010790872196 DOI: https://doi.org/10.5367/000000010790872196
INEC. (2017). Instituto Nacional de Estadísticas y Censos.
Jackman, M., & Lorde, T. (2010). On the Relationship between Tourist Flows and Household Expenditure in Barbados: A Dynamic OLS Approach. Economics Bulletin, 30(1), 472-481. Retrieved from http://www.accessecon.com/Pubs/EB/2010/Volume30/EB-10-V30-I1-P42.pdf
Khan, H., Toh, R., & Chua, L. Tourism and Trade: Cointegration and Granger Causality Tests. Journal of Travel Research, 44(2), 2005, 171-176.
DOI: https://doi.org/10.1177/0047287505276607 DOI: https://doi.org/10.1177/0047287505276607
Li, G., Song, H., & Witt, S. Time varying parameter and fixed parameter linear AIDS: an application to tourism demand forecasting. International journal of forecasting, 22(1), 2006, 57-71. DOI: https://doi.org/10.1016/j.ijforecast.2005.03.006 DOI: https://doi.org/10.1016/j.ijforecast.2005.03.006
Lim, C. A Meta-Analytic Review of International Tourism Demand. Journal of Travel Research, 37(3), 1999, 273-284. DOI: https://doi.org/10.1177/004728759903700309 DOI: https://doi.org/10.1177/004728759903700309
Lim, C., & McAleer, M.A seasonal analysis of Asian tourist arrivals to Australia. Applied Economics, 32(4), 2000, 499-50. DOI: http://dx.doi.org/10.1080/000368400322660 DOI: https://doi.org/10.1080/000368400322660
Lin, H.-L., Liu, L.-M., Tseng, Y.-H., & Su, Y.-W. Taiwan's international tourism: a time series analysis with calendar effects and joint outlier adjustments. International Journal of Tourism Research, 13(1), 2011, 1-16. DOI: http://dx.doi.org/10.1002/jtr.779 DOI: https://doi.org/10.1002/jtr.779
Loeb, P. D. International travel to the United States: An econometric evaluation. Annals of Tourism Research, 9(1), 1982, 7-20. DOI: http://dx.doi.org/10.1016/0160-7383(82)90031-7 DOI: https://doi.org/10.1016/0160-7383(82)90031-7
Louca, C. Income and Expenditure in the Tourism Industry: Time Series Evidence from Cyprus. 12(4), 2006, 603-617. DOI: https://doi.org/10.5367/000000006779319963 DOI: https://doi.org/10.5367/000000006779319963
Martin, C., & Witt, S. Tourism demand forecasting models: Choice of appropriate variable to represent tourists' cost of living, Tourism Management. Tourism Management, 8(3), 2007, 233-246. DOI: http://dx.doi.org/10.1016/0261-5177(87)90055-0 DOI: https://doi.org/10.1016/0261-5177(87)90055-0
Nowak, J.-J., Sahli, M., & Cortés-Jiménez, I. Tourism, Capital Good Imports and Economic Growth: Theory and Evidence for Spain. Tourism Economics, 13(4), 2007, 515-536. DOI: https://doi.org/10.5367/000000007782696113 DOI: https://doi.org/10.5367/000000007782696113
Pesaran, H., Shin, Y., & and Smith, R. Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 2001, 289--326.
DOI: https://doi.org/10.1002/jae.616 DOI: https://doi.org/10.1002/jae.616
Pesaran, H., Shin, Y., & and Smith, R.. Testing for the Existence of a Long-run Relationship. Cambridge Working Papers in Economics 9622, Faculty of Economics, University of Cambridge. 1986
Phillips, P., & Perron, P. Testing for a unit root in time series regression. Biometrika, 75(2), pp. 1988, 335-346. DOI: https://doi.org/10.1093/biomet/75.2.335 DOI: https://doi.org/10.1093/biomet/75.2.335
Seo, J., Park, S., & Yu, L. The analysis of the relationships of Korean outbound tourism demand: Jeju Island and three international destinations. Tourism Management, 30(4), 2009, 530-543. DOI: http://dx.doi.org/10.1016/j.tourman.2008.10.013 DOI: https://doi.org/10.1016/j.tourman.2008.10.013
Sheldon, P. Forecasting Tourism: Expenditures versus Arrivals. Journal of Travel Research, 32(1), 1993, 13-20. DOI: https://doi.org/10.1177/004728759303200103 DOI: https://doi.org/10.1177/004728759303200103
Song, H., Wong, K., & Chon, K. Modelling and forecasting the demand for Hong Kong tourism. International Journal of Hospitality Management, 22(4), 2003, 435-451.
DOI: http://dx.doi.org/10.1016/S0278-4319(03)00047-1 DOI: https://doi.org/10.1016/S0278-4319(03)00047-1
Syriopoulos, T. C. A dynamic model of demand for Mediterranean tourism. International Review of Applied Economics, 9(3), 1995, 318-336. DOI: http://dx.doi.org/10.1080/758537633 DOI: https://doi.org/10.1080/758537633
Tang, S., Selvanathan, E., & Selvanathan, S. The Relationship between Foreign Direct Investment and Tourism: Empirical Evidence from China. Tourism Economics, 13(1), 2017, 25-39. DOI: https://doi.org/10.5367/000000007779784498 DOI: https://doi.org/10.5367/000000007779784498
WTO. World Tourism Organization. 2017, Retrieved from de http://www2.unwto.org
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