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Modeling tourism: A fully identified VECM approach
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., &...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Institute of Forecasters. Published by Elsevier B.V.
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7114862/ https://www.ncbi.nlm.nih.gov/pubmed/32287620 http://dx.doi.org/10.1016/j.ijforecast.2008.11.014 |
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author | Bonham, Carl Gangnes, Byron Zhou, Ting |
author_facet | Bonham, Carl Gangnes, Byron Zhou, Ting |
author_sort | Bonham, Carl |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7114862 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | International Institute of Forecasters. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71148622020-04-02 Modeling tourism: A fully identified VECM approach Bonham, Carl Gangnes, Byron Zhou, Ting Int J Forecast Article 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. International Institute of Forecasters. Published by Elsevier B.V. 2009 2009-01-10 /pmc/articles/PMC7114862/ /pubmed/32287620 http://dx.doi.org/10.1016/j.ijforecast.2008.11.014 Text en Copyright © 2008 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Bonham, Carl Gangnes, Byron Zhou, Ting Modeling tourism: A fully identified VECM approach |
title | Modeling tourism: A fully identified VECM approach |
title_full | Modeling tourism: A fully identified VECM approach |
title_fullStr | Modeling tourism: A fully identified VECM approach |
title_full_unstemmed | Modeling tourism: A fully identified VECM approach |
title_short | Modeling tourism: A fully identified VECM approach |
title_sort | modeling tourism: a fully identified vecm approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7114862/ https://www.ncbi.nlm.nih.gov/pubmed/32287620 http://dx.doi.org/10.1016/j.ijforecast.2008.11.014 |
work_keys_str_mv | AT bonhamcarl modelingtourismafullyidentifiedvecmapproach AT gangnesbyron modelingtourismafullyidentifiedvecmapproach AT zhouting modelingtourismafullyidentifiedvecmapproach |