This paper focuses on the development of an ecological regression approach for voter transition estimation, avoiding the arbitrary assumptions in Goodman's classical model of ecological regression (Goodman [1959]). In doing this, we further develop previous attempts made at the ridge regression approach, by applying a modified generalized ridge estimator. To illustrate the application of the proposed estimation technique, we estimate the transition probabilities in the last two Swedish elections on a local level.