The aim of this paper is to study the biased estimators in forecasting the agriculture production. The main idea relies on using the ridge regression estimators to forecast the groundnut production. The motivation behind the study is to use the ridge regression estimators is that it overcomes the problem of Multicolinearity that often occurs in the time series data. Our simulation study reveals that the forecasting through ridge estimators found much better than the forecasting of groundnut production by using time series econometric model.
