Dynamic Analysis and Forecasts of Rough Rice Price under Government Price Support Program: An Application of Bayesian VAR

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dc.creatorNo, Sung Chul
dc.creatorSalassi, Michael E.
dc.date2017-04-01T19:57:02Z
dc.date.accessioned2026-07-09T04:24:56Z
dc.descriptionThis study constructs a Bayesian VAR model of US rice prices, in conjunction with supply and demand functions. Various validation tests are conducted to examine whether or not the BVAR model satisfies its dual functionality: Providing a dynamic analysis of the effects of a price support program and generating reasonable short-term rice price forecasts.
dc.identifierdoi:10.22004/ag.econ.35279
dc.identifierhttps://ageconsearch.umn.edu/record/35279/files/sp06no03.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/35279
dc.identifier.urihttp://hdl.handle.net/123456789/549583
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/35279
dc.titleDynamic Analysis and Forecasts of Rough Rice Price under Government Price Support Program: An Application of Bayesian VAR
dc.typeText

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