Alternative approaches to forecasting highway related revenues in Virginia

dc.contributor.authorJamei, Bahramen
dc.contributor.departmentCivil Engineeringen
dc.date.accessioned2019-01-31T18:27:15Zen
dc.date.available2019-01-31T18:27:15Zen
dc.date.issued1982en
dc.description.abstractThe highway related revenues for the Commonwealth of Virginia from three major tax sources; fuel tax, registration fee, and sales and use tax are estimated under three scenarios. Each scenario assumes different economic conditions for the future. The base case expects normal or moderate situations for future economy, where the optimistic case expects lower inflation rates and the pessimistic case assumes higher inflation rates. Two modeling approaches have been used in forecasting the fuel tax revenue. One is based on travel, and the other is based on gasoline demand. The sales and use tax revenue has also been forecasted using two different approaches. One method depends on the demand for vehicle, and the other on the historical amount of revenues generated. Registration fee revenue for five types of vehicles are forecasted using number of registered vehicles and the average registration fees. A comparison of the developed model with other existing state revenue forecasting models are also presented.en
dc.description.degreeMaster of Scienceen
dc.format.extentix, 183 leavesen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/10919/87204en
dc.language.isoen_USen
dc.publisherVirginia Polytechnic Institute and State Universityen
dc.relation.isformatofOCLC# 9403362en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1982.J353en
dc.subject.lcshTransportation, Automotive -- Taxation -- Virginia -- Simulation methodsen
dc.subject.lcshMotor fuels -- Taxation -- Virginia -- Simulation methodsen
dc.titleAlternative approaches to forecasting highway related revenues in Virginiaen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineCivil Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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