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Smooth quantile-based modeling of brand sales, price and promotional effects from retail scanner panels

Kagerer, Kathrin



Abstract

Semiparametric quantile regression is employed to flexibly estimate sales response for frequently purchased consumer goods. Using retail store-level data, we compare the performance of models with and without monotonic smoothing for fit and prediction accuracy. We find that (a) flexible models with monotonicity constraints imposed on price effects dominate both in-sample and out-of-sample ...

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