COMBINING ANNUAL ECONOMETRIC FORECASTS WITH QUARTERLY ARIMA FROECASTS: A HEURISTIC APPROACH

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dc.creatorMyer, Gordon L.
dc.creatorYanagida, John F.
dc.date2017-04-01T18:19:50Z
dc.date.accessioned2026-07-09T04:16:54Z
dc.descriptionData limitations often limit the time framework in which agricultural commodities are modeled and prices forecasted. Our research provides a technique to alleviate this constraint. By combining an annual econometric model with a quarterly ARIMA model, quarterly forecasts can be made which utilize the theoretical and structural foundations in econometric modeling.
dc.identifierdoi:10.22004/ag.econ.32375
dc.identifierhttps://ageconsearch.umn.edu/record/32375/files/09010200.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/32375
dc.identifier.urihttp://hdl.handle.net/123456789/547542
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/32375
dc.titleCOMBINING ANNUAL ECONOMETRIC FORECASTS WITH QUARTERLY ARIMA FROECASTS: A HEURISTIC APPROACH
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