FORECASTING RAIL FREIGHT TRAFFIC FROM A STATEWIDE ECONOMIC MODEL

Jeffrey Jordan (jjordan@uga.edu) and Stanley Thompson (thompson.51@osu.edu)

Southern Journal of Agricultural Economics, 1984, vol. 16, issue 2, 8

Abstract: The purpose of this study was to develop a procedure for estimating future rail traffic that considers the relationship between the structure of a state's economy and rail freight traffic. The study expands the use of input-output models to include the forecasting of transportation demand. Georgia and Michigan case studies were used to test the forecasting capability of the input-output procedure. For Michigan's 1980 rail movements, the model predicted rail traffic to within 0.15 percent of actual traffic. For 1979 Georgia traffic, the model predicted within 4.3 percent of actual traffic. Various statistical tests indicate that the procedure was effective in forecasting rail freight traffic.

Keywords: Public; Economics (search for similar items in EconPapers)
Date: 1984
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/29719/files/16020083.pdf (application/pdf)

Related works:
Journal Article: Forecasting Rail Freight Traffic from a Statewide Economic Model (1984)
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:ags:sojoae:29719

DOI: 10.22004/ag.econ.29719

Access Statistics for this article

More articles in Southern Journal of Agricultural Economics from Southern Agricultural Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search (aesearch@umn.edu).