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Modeling tourism: A fully identified VECM approach

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Author Info
Bonham, Carl
Gangnes, Byron
Zhou, Ting

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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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File URL: http://www.sciencedirect.com/science/article/B6V92-4VBM47C-1/2/257deff48fe0b30b8766b5bb84034963
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Publisher Info
Article provided by Elsevier in its journal International Journal of Forecasting.

Volume (Year): 25 (2009)
Issue (Month): 3 (July)
Pages: 531-549
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Handle: RePEc:eee:intfor:v:25:y:2009:i:3:p:531-549

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Related research
Keywords: Cointegration Vector error correction model Identification Tourism demand and supply analysis Tourism forecasting Hawaii;

Cited by:
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  1. Jose Angelo Divino & Michael McAleer, 2009. "Modelling and Forecasting Daily International Mass Tourism to Peru," CIRJE F-Series CIRJE-F-651, CIRJE, Faculty of Economics, University of Tokyo. [Downloadable!]
  2. Jose Angelo Divino & Michael McAleer, 2009. "Modelling Sustainable International Tourism Demand to the Brazilian Amazon," CIRJE F-Series CIRJE-F-650, CIRJE, Faculty of Economics, University of Tokyo. [Downloadable!]
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This page was last updated on 2009-11-7.


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