A leading indicator approach to predicting short-term shifts in demand for business travel by air to and from the UK
AbstractThis paper uses the probit model to examine whether leading indicator information could be used for the purpose of predicting short-term shifts in demand for business travel by air to and from the UK. Leading indicators considered include measures of business expectations, availability of funds for corporate travel and some well-known macroeconomic indicators. The model performance is evaluated on in- and out-of-sample basis, as well as against a linear leading indicator model, which is used to mimic the current forecasting practice in the air transport industry. The estimated probit model is shown to provide timely predictions of the early 1980s and 1990s industry recessions and is shown to be more accurate than the benchmark linear model. Copyright © 2005 John Wiley & Sons, Ltd.
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 John Wiley & Sons, Ltd. in its journal Journal of Forecasting.
Volume (Year): 24 (2005)
Issue (Month): 6 ()
Contact details of provider:
Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/2966
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- repec:ecu:wpaper:2009-09 is not listed on IDEAS
- Samagaio, AntÃ³nio & Wolters, Mark, 2010. "Comparative analysis of government forecasts for the Lisbon Airport," Journal of Air Transport Management, Elsevier, vol. 16(4), pages 213-217.
- Scarpel, Rodrigo Arnaldo, 2013. "Forecasting air passengers at SÃ£o Paulo International Airport using a mixture of local experts model," Journal of Air Transport Management, Elsevier, vol. 26(C), pages 35-39.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum).
If references are entirely missing, you can add them using this form.