On Liu estimators for the logit regression model

► Multicollinearity leads to low precision of estimated parameters of regression models. ► Using Monte Carlo simulations this is shown to hold for the logit model. ► A Liu estimator is proposed to reduce the variance. ► Some methods of estimating the shrinkage parameter is suggested. ► The simulated results shows that the Liu estimator reduces the variance.