Arbeitspapier
Which Brands gain Share from which Brands? Inference from Store-Level Scanner Data
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.
- Language
-
Englisch
- Bibliographic citation
-
Series: Tinbergen Institute Discussion Paper ; No. 03-079/4
- Classification
-
Wirtschaft
Econometric and Statistical Methods and Methodology: General
Model Construction and Estimation
Forecasting Models; Simulation Methods
Marketing
- Subject
-
competitive structure
elasticity decomposition
market shares
share-switching
store-level scanner data
Markenartikel
Marktanteil
Preiselastizität
Marketingtheorie
Theorie
- Event
-
Geistige Schöpfung
- (who)
-
van Oest, Rutger
Franses, Philip Hans
- Event
-
Veröffentlichung
- (who)
-
Tinbergen Institute
- (where)
-
Amsterdam and Rotterdam
- (when)
-
2003
- Handle
- Last update
-
10.03.2025, 11:44 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- van Oest, Rutger
- Franses, Philip Hans
- Tinbergen Institute
Time of origin
- 2003
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