Abstract
The finite distributed lag models often include highly correlated variables since they have lagged and unlagged values of the same variable. Some problems are faced when the ordinary least squares (OLS) method is applied to these models. Models such as Koyck and Almon models, have been suggested to tackle these problems. In this study, providing alternative methods are aimed by introducing the combinations of Almon method with biased estimators such as Ridge and the Liu type estimators, which are alternatives to OLS defined for solving multicollinearity problem. Morover, these defined methods are compared by using Almon(1965) data.