Search Results - subject:"store-level scanner data" - EconBiz

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

van Oest, Rutger; Franses, Philip Hans - 2003

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...

Persistent link: https://www.econbiz.de/10010325000

Which brands gain share from which brands? : inference from store-level scanner data

Oest, Rutger van; Franses, Philip Hans - 2003

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...

Persistent link: https://www.econbiz.de/10011334354

Which brands gain share from which brands? Inference from store-level scanner data

Franses, Philip Hans; van Oest, van Oest, R.D. - Erasmus Research Institute of Management (ERIM), … - 2003

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...

Persistent link: https://www.econbiz.de/10010731007

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

Oest, Rutger van; Franses, Philip Hans - Tinbergen Institute - 2003

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...

Persistent link: https://www.econbiz.de/10005137001

Which brands gain share from which brands? Inference from store-level scanner data

Oest, R.D. van; Franses, Ph.H.B.F. - Erasmus Research Institute of Management (ERIM), ERIM … - 2003

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...

Persistent link: https://www.econbiz.de/10005051723

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

Oest, Rutger van; Franses, Philip Hans - Tinbergen Instituut - 2003

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...

Persistent link: https://www.econbiz.de/10011256434

Assesing the frequency and clauses of out-of-stock events through store scanner data

Bayle-Tourtoulou, Anne-Sophie; Laurent, Gilles; Macé, … - HEC Paris (École des Hautes Études Commerciales) - 2006

computed on the basis of store-level scanner data and identify several of the main determinants of OOS. They also introduce a …

Persistent link: https://www.econbiz.de/10005011535

Which Brands Gain Share from Which Brands? Inference from Store-Level Scanner Data

Oest, Rutger - In: Quantitative Marketing and Economics 3 (2005) 3, pp. 281-304

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...

Persistent link: https://www.econbiz.de/10005701825

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