Abstract
Marketing data are often collinear. Multicollinearity can pose serious problems for estimation of models such as those generally specified for the analysis of price and promotions. In this paper, we analyze the relative performance of several biased estimators under an in-sample and out-of-sample mean squared error criterion. We consider the alternative estimators from the standpoint of addressing the problem of estimating models with collinear data.
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