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Modeling tourism: A fully identified VECM approach

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  • Bonham, Carl
  • Gangnes, Byron
  • Zhou, Ting

Abstract

System-based cointegration methods have become popular tools for economic analysis and forecasting. However, the identification of structural relationships is often problematic. Using a theory-directed sequential reduction method suggested by Hall, Henry and Greenslade [Hall, S. G., Henry, S., & Greenslade, J. (2002). On the identification of cointegrated systems in small samples: A modelling strategy with an application to UK wages and prices. Journal of Economic Dynamics and Control, 26, 1517-1537], we estimate a vector error correction model of Hawaii tourism, where both demand and supply-side influences are important. We identify reasonable long-run equilibrium relationships, and Diebold-Mariano tests for forecast accuracy demonstrate satisfactory forecasting performance.

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  • Bonham, Carl & Gangnes, Byron & Zhou, Ting, 2009. "Modeling tourism: A fully identified VECM approach," International Journal of Forecasting, Elsevier, vol. 25(3), pages 531-549, July.
  • Handle: RePEc:eee:intfor:v:25:y:2009:i:3:p:531-549
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    1. Sheng, Li, 2011. "Taxing tourism and subsidizing non-tourism: A welfare-enhancing solution to “Dutch disease”?," Tourism Management, Elsevier, vol. 32(5), pages 1223-1228.
    2. Peter Fuleky & Carl S. Bonham & Qianxue Zhao, 2013. "Estimating Demand Elasticities in Non-Stationary Panels: The Case of Hawaii's Tourism Industry," Working Papers 201314, University of Hawaii at Manoa, Department of Economics.
    3. repec:hae:wpaper:2013-2 is not listed on IDEAS
    4. Athanasopoulos, George & Hyndman, Rob J. & Song, Haiyan & Wu, Doris C., 2011. "The tourism forecasting competition," International Journal of Forecasting, Elsevier, vol. 27(3), pages 822-844.
    5. E. M. Ekanayake & Mihalis Halkides & John R. Ledgerwood, 2012. "Inbound International Tourism To The United States: A Panel Data Analysis," International Journal of Management and Marketing Research, The Institute for Business and Finance Research, vol. 5(3), pages 15-27.
    6. Farhan Abdi Omar & Abdishakur Mohamed Hussein, 2020. "The Stability of Money Demand Function: Evidence from South Africa," International Journal of Economics and Financial Issues, Econjournals, vol. 10(5), pages 16-22.
    7. Sergej Gricar & Stefan Bojnec & Vesna Karadzic & Svetlana Rakocevic, 2016. "Comparative Analysis of Tourism-Led Growth in Slovenia and Montenegro," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 14(1 (Spring), pages 75-92.
    8. Jose Angelo Divino & Michael McAleer, 2009. "Modelling the Growth and Volatility in Daily International Mass Tourism to Peru," Documentos de Trabajo del ICAE 2009-15, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    9. Konan, Denise Eby, 2011. "Limits to growth: Tourism and regional labor migration," Economic Modelling, Elsevier, vol. 28(1), pages 473-481.
    10. Azmat Gani, 2022. "Using a consumer choice model to explain the effect of the newly developed oxford COVID-19 government stringency measure on hotel occupancy rates," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4313-4333, December.
    11. Divino, Jose Angelo & McAleer, Michael, 2010. "Modelling and forecasting daily international mass tourism to Peru," Tourism Management, Elsevier, vol. 31(6), pages 846-854.
    12. Amira Gasmi & Seifallah Sassi, 2015. "International tourism demand in Tunisia: Evidence from dynamic panel data model," Economics Bulletin, AccessEcon, vol. 35(1), pages 507-518.
    13. Petr Štumpf & Jitka Mattyašovská & Adriana Krištùfková, 2021. "Restart of Hospitality and Tourism: System Dynamics and Scenario-Based Modelling," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 14(2), pages 125-136.
    14. Majid Eskafi & Milad Kowsari & Ali Dastgheib & Gudmundur F. Ulfarsson & Gunnar Stefansson & Poonam Taneja & Ragnheidur I. Thorarinsdottir, 2021. "A model for port throughput forecasting using Bayesian estimation," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(2), pages 348-368, June.
    15. Divino, J.A. & McAleer, M.J., 2008. "Modelling sustainable international tourism demand to the Brazilian Amazon," Econometric Institute Research Papers EI 2008-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    16. Armand Viljoen & Andrea Saayman & Melville Saayman, 2019. "Determinants influencing inbound arrivals to Africa," Tourism Economics, , vol. 25(6), pages 856-883, September.
    17. Ulrich Gunter, 2021. "Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests," Forecasting, MDPI, vol. 3(4), pages 1-36, November.
    18. Cao, Zheng & Li, Gang & Song, Haiyan, 2017. "Modelling the interdependence of tourism demand: The global vector autoregressive approach," Annals of Tourism Research, Elsevier, vol. 67(C), pages 1-13.
    19. Andrea Saayman & Jacques de Klerk, 2019. "Forecasting tourist arrivals using multivariate singular spectrum analysis," Tourism Economics, , vol. 25(3), pages 330-354, May.
    20. Nicholas Apergis & Andrea Mervar & James E. Payne, 2017. "Forecasting disaggregated tourist arrivals in Croatia," Tourism Economics, , vol. 23(1), pages 78-98, February.
    21. Nanthakumar Loganathan & Ang Shy Han & Mori Kogid, 2013. "Demand for Indonesia, Singapore and Thailand Tourist to Malaysia:Seasonal Unit Root and Multivariate Analysis," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 1(2), pages 15-23, Februray.
    22. Azmat Gani & Michael D. Clemes, 2017. "The main determinants effecting international visitor arrivals in New Zealand," Tourism Economics, , vol. 23(5), pages 921-940, August.
    23. Becken, Susanne & Lennox, James, 2012. "Implications of a long-term increase in oil prices for tourism," Tourism Management, Elsevier, vol. 33(1), pages 133-142.
    24. 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.
    25. Timothy Halliday & Hui He & Hao Zhang, 2010. "Health Investment over the Life-Cycle," Working Papers 201020, University of Hawaii at Manoa, Department of Economics.

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