Leading Transportation Indicators: Forecasting Waterborne Commerce Statistics Using Lock Performance Data

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dc.creatorThoma, Mark A.
dc.creatorWilson, Wesley W.
dc.date2017-04-01T16:56:41Z
dc.date.accessioned2026-07-09T09:24:02Z
dc.descriptionThis paper develops and applies a forecasting model for transportation data based on the leading economic indicators literature. The specific application is to forecast river tonnages. Waterborne commerce data reflect tonnages of commodities moved on various rivers and in various directions. They are released after the Lock Performance Monitoring System data which reflect tonnages moving through specific locks. The model presented here forecasts waterborne commerce data from lock performance data. The results suggest that even a very simple model can provide precise forecasts.
dc.identifierdoi:10.22004/ag.econ.206758
dc.identifierhttps://ageconsearch.umn.edu/record/206758/files/826-936-1-PB.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/206758
dc.identifier.urihttp://hdl.handle.net/123456789/608600
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/206758
dc.titleLeading Transportation Indicators: Forecasting Waterborne Commerce Statistics Using Lock Performance Data
dc.typeText

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