Developing a Forecasting Model for Cereal, Coffee, Pulses and Oil Seeds: Box-jenkins Approach

dc.contributor.advisorGeda, Alemayehu ( Dr )
dc.contributor.authorAdane, Habtamu
dc.date.accessioned2021-08-04T20:39:22Z
dc.date.accessioned2023-11-04T10:30:46Z
dc.date.available2021-08-04T20:39:22Z
dc.date.available2023-11-04T10:30:46Z
dc.date.issued2010-06
dc.description.abstractThis study tries to identify the macro forecasting gap created between Ethiopian government and Some international organizations like IMF. The former uses informal methods (un ojficialized) and the later uses model based forecasting methods growth oriented financial programing model to predict rate of growth The other(major) concern of the study was in developing a forecasting model for cereal, coffee, pulses and oilseeds using Box-Jenkins (univariate ARJMA) methodology. Following the four procedures of identification, estimation, diagnostic checking and forecasting, we get ARIMA (2,1 , 2), ARIMA(2, 1,4), ARIMA(O,1,4) and ARIMA(O, 1,4) as the data congruent forecasting models for cereal, coffee, pulses and oiLseeds respectively.en_US
dc.identifier.urihttp://etd.aau.edu.et/handle/123456789/27598
dc.language.isoenen_US
dc.publisherA.A.Uen_US
dc.subjectDevelopingen_US
dc.subjectForcastingen_US
dc.subjectModelen_US
dc.titleDeveloping a Forecasting Model for Cereal, Coffee, Pulses and Oil Seeds: Box-jenkins Approachen_US
dc.typeThesisen_US

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