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...

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...

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...

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...

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...

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...

This paper aims to provide an answer to the question of out-of-stock events (OOS), their frequency, the sales losses they generate, and their causes. The authors provide two contributions. They describe a new sales-based measure of OOS computed on the basis of store-level scanner data and...

Beans are widely grown as a major food crop in Eastern and Southern Africa. It is the most important staple food crop after maize in Kenya (ECABREN, 2000). The beans industry in Kenya is faced with problems of shortages, seasonal supply and price fluctuations and inadequate information on...

This report analyzes the economic impact of price fixing in the wet corn milling industry on consumers in the State of Michigan. Two of the companies who produce citric acid have pleaded guilty to fixing its price. In this report we assume that price fixing also occurred among HFCS producers....