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

Kagerer, Kathrin (2014) Smooth quantile-based modeling of brand sales, price and promotional effects from retail scanner panels. Journal of Applied Econometrics 29 (6), pp. 1007-1028.

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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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Item type:Article
Date:2014
Institutions:Business, Economics and Information Systems > Institut für Volkswirtschaftslehre und Ökonometrie > Lehrstuhl für Ökonometrie (Prof. Dr. Rolf Tschernig)
Identification Number:
ValueType
10.1002/jae.2347DOI
Dewey Decimal Classification:300 Social sciences > 330 Economics
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Partially
Item ID:31432
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