Modelling and forecasting retail prices of maize for three agricultural markets in Tanzania

dc.contributor.authorMhohelo, Doris Robert
dc.date.accessioned2020-03-09T06:19:55Z
dc.date.available2020-03-09T06:19:55Z
dc.date.issued2019
dc.descriptionDissertation (MSc Statistics)en_US
dc.description.abstractThis study examined the modelling for maize prices using Autoregressive Integrated Moving Average (ARIMA) models so as to determine the most efficient and adequate model for analyzing the maize monthly prices at the Gairo market in Morogoro Region, Manyoni market in Singida Region and Kibaigwa market in Dodoma Region. The results indicate that ARIMA (1, 1, 4) model is the most adequate and efficient model for Gairo market, ARIMA (2, 1, 3) model is the most adequate and efficient mode1 for Manyoni market and ARIMA (2, 2, 3) model is the most adequate and efficient model for Kibaigwa market. This was determined by comparing the various model selection criteria and the diagnostic tests for various models among them Akaike Information Criteria (AIC) and Bayesian Information Criteria (BIC) and Mean Absolute Percentage Error (MAPE). Time-series analysis was done using STATGRAPHICS, EXCEL, R software and SAS JPM. The forecast results suggest that there are expectations of increasing maize prices in Manyoni market from July-2018 to March-2019, the maize prices in Kibaigwa market are also expected to increase with time from January 2018 to February 2019 and the maize prices at Gairo market are expected to keep on increasing with time from July 2018 to May 2019. A better understanding of maize prices situation and future prices will enable producers and consumers to make the right choices concerning buying and selling arrangements. Hence, the government should take appropriate actions to make sure that both producers and consumers are earning the profit.en_US
dc.identifier.citationMhohelo, D. R. (2019). Modelling and forecasting retail prices of maize for three agricultural markets in Tanzania (Master’s dissertation). The University of Dodoma, Dodoma.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12661/2119
dc.publisherThe University of Dodomaen_US
dc.subjectTanzaniaen_US
dc.subjectMaizeen_US
dc.subjectMaize priceen_US
dc.subjectAgricultureen_US
dc.subjectAgricultural marketsen_US
dc.subjectMaize retail pricesen_US
dc.titleModelling and forecasting retail prices of maize for three agricultural markets in Tanzaniaen_US
dc.typeDissertationen_US
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