Forecasting the Demand for South African Rail Goods Transport
C P van Walbeek and
W J Pienaar
Studies in Economics and Econometrics, 1997, vol. 21, issue 3, 25-45
Abstract:
There has been a substantial decline in the demand for rail transport for a large number of commodities over the past decades. In particular, higher-value commodities, capable of bearing a higher transport cost, have been replaced by low-value commodities like coal and iron ore.In this paper a forecasting model for the rail demand of eighteen individual commodities was estimated by means of the method of ordinary least squares. In general macro-economic activity variables such as GDP and GDE were used as independent variables and these provided good regression results. An ex post historical simulation yielded satisfactory forecasts.The model suggests that total rail tonnage will increase annually by about 1,2 per cent under a “pessimistic” economic scenario, by 3,5 per cent under an “average” scenario and by 6,5 per cent under an “optimistic” scenario.
Date: 1997
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03796205.1997.12129111 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:rseexx:v:21:y:1997:i:3:p:25-45
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rsee20
DOI: 10.1080/03796205.1997.12129111
Access Statistics for this article
Studies in Economics and Econometrics is currently edited by Willem Bester
More articles in Studies in Economics and Econometrics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().