Cointegration analysis of quarterly tourism demand by Hong Kong and Singapore for Australia
AbstractHong Kong and Singapore are two of the most important and fastest growing markets for tourists to Australia. The purpose of this paper is to investigate movements in the long-run demand for tourist travel by these two origin countries for Australia. Some of the leading macroeconomic variables examined to explain tourism demand are incomes in Hong Kong and Singapore, tourism prices in Australia, and transportation costs and exchange rates between the two countries and Australia. Seasonally unadjusted quarterly data are used for Hong Kong for the period 1975(1)-1996(4), and for 1980(4)-1996(4) for Singapore. Several proxy variables are used for the incomes of tourists from Hong Kong and Singapore to explain quarterly tourist arrivals to Australia. The augmented Dickey-Fuller test for unit roots is examined in the univariate framework, and Johansen's maximum likelihood procedure is used to test for cointegration and to estimate the number of cointegrating vectors. Error correction models are estimated to explain quarterly tourism demand by Hong Kong and Singapore for Australia.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Economics.
Volume (Year): 33 (2001)
Issue (Month): 12 ()
Contact details of provider:
Web page: http://www.tandfonline.com/RAEC20
You can help add them by filling out this form.
RePEc Biblio mentionsAs found on the RePEc Biblio, the curated bibliography for Economics:CitEc Project, subscribe to its RSS feed for this item.
- Juncal Cuñado & Alberiko Gil-Alana, Luis & Perez De Gracia, Fernando, 2011. "Modelling International Monthly Tourist in Spain/Modelización de llegadas mensuales de turistas a España," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 29, pages 723-736, Diciembre.
- Egon Smeral & Michael Wüger, 2004. "Does Complexity Matter? Methods for Improving Forecasting Accuracy in Tourism," WIFO Working Papers 225, WIFO.
- George Athanasopoulos & Rob J. Hyndman, 2006. "Modelling and forecasting Australian domestic tourism," Monash Econometrics and Business Statistics Working Papers 19/06, Monash University, Department of Econometrics and Business Statistics.
- Chukiat Chaiboonsri & Prasert Chaitip & N. Rangaswamy, 2009. "Modelling International Tourism Demand in Thailand," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 9(3), pages 125-146.
- Chukiat Chaiboonsri & Jittaporn Sriboonjit & Thanes Sriwichailamphan & Prasert Chaitip & Songsak Sriboonchitta, 2010. "A Panel Cointegration Analysis: An Application To International Tourism Demand Of Thailand," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 10(3), pages 69-86.
- Christine Lim & Michael McAleer, 2001. "Modelling the Determinants of International Tourism Demand to Australia," ISER Discussion Paper 0532, Institute of Social and Economic Research, Osaka University.
- 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.
- Paresh Kumar Narayan, 2006. "Are Australia's tourism markets converging?," Applied Economics, Taylor & Francis Journals, vol. 38(10), pages 1153-1162.
- Saroja Selvanathan, 2007. "The effect of war and other factors on Sri Lankan tourism," Applied Economics Letters, Taylor & Francis Journals, vol. 14(1), pages 35-38.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).
If references are entirely missing, you can add them using this form.