Files
Abstract
This paper estimates structural demands for grain transportation on the upper Mississippi and
Illinois Rivers. Grain is the predominant commodity transported on these waterways. Analysis
indicates Seemingly Unrelated Regression (SUR) to be a superior method for estimating each
waterway’s structural demand. Results show rates, foreign and domestic demands, floods, season,
and river water level influence demands. Further, the analysis suggests that a detailed analysis of
river freight demand is a necessary precursor of a defendable study into the economic feasibility of
improving transportation infrastructure on the upper Mississippi and Illinois Rivers.