Which Brands gain Share from which Brands? Inference from Store-Level Scanner Data

Rutger van Oest () and Philip Hans Franses
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Rutger van Oest: Tilburg University

No 03-079/4, Tinbergen Institute Discussion Papers from Tinbergen Institute

Abstract: Market share models for weekly store-level data are useful to understand competitive structures by delivering own and cross price elasticities. These models can however not be used to examine which brands lose share to which brands during a specificperiod of time. It is for this purpose that we propose a new model, which does allow for such an examination. We illustrate the model for two product categories in two markets, and we show that our model has validity in terms of both in-sample fit and out-of-sample forecasting. We also demonstrate how our model can be used to decompose own and cross price elasticities to get additional insights into the competitive structure.

Keywords: competitive structure; elasticity decomposition; market shares; share-switching; store-level scanner data (search for similar items in EconPapers)
JEL-codes: C10 C51 C53 M31 (search for similar items in EconPapers)
Date: 2003-10-06
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Working Paper: Which brands gain share from which brands? Inference from store-level scanner data (2003)
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