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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.

Suggested Citation

  • 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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    Cited by:

    1. repec:eee:touman:v:32:y:2011:i:5:p:1223-1228 is not listed on IDEAS
    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. 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.
    6. 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.
    7. Konan, Denise Eby, 2011. "Limits to growth: Tourism and regional labor migration," Economic Modelling, Elsevier, vol. 28(1), pages 473-481.
    8. Divino, Jose Angelo & McAleer, Michael, 2010. "Modelling and forecasting daily international mass tourism to Peru," Tourism Management, Elsevier, vol. 31(6), pages 846-854.
    9. 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.
    10. 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.
    11. repec:eee:anture:v:67:y:2017:i:c:p:1-13 is not listed on IDEAS
    12. 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.
    13. repec:eee:touman:v:33:y:2012:i:1:p:133-142 is not listed on IDEAS
    14. 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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