Which brands gain share from which brands? Inference from store-level scanner data
Rutger van Oest and
Philip Hans Franses
ERIM Report Series Research in Management from Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam
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 specific period 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: M M31 (search for similar items in EconPapers)
Date: 2003-01-01
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
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https://repub.eur.nl/pub/1007/ERS%20076.pdf (application/pdf)
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Working Paper: Which Brands gain Share from which Brands? Inference from Store-Level Scanner Data (2003) 
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Persistent link: https://EconPapers.repec.org/RePEc:ems:eureri:1007
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