Forecasting the yield of sorghum in Nigeria using alternative forecasting models

Abstract

Grafting technique was used to estimate a forecasting model for yield (kg/ha) of sorghum in Nigeria. The estimated model was compared with the traditional models to show that time series data does not always relate linearly to trend over the entire sample space. The results show that the grafted model was superior to others.

Publication
Nigerian Agricultural Journal 32:52-64
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Job Nmadu
Professor of Agricultural Economics and Dean, School of Agriculture and Agricultural Technology

Research interests are economic efficiencies of small scale farming and welfare effects of agricultural interventions.

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