The possibility of using models derived from time-series data to forecast changes in developing country agricultural output, acreage, and yield per acre is explored. The forecasted changes could then be associated with weather variations, price movements, and technological changes. First, model parameters are estimated through regression analysis, and then the model is used as a basis of prediction. As agricultural changes in developing countries...
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