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Jones, Eugene; Chern, Wen S.; Mustiful, Barry K.. |
Scanner data for breakfast cereals are used to estimate demand elasticities for six supermarket stores in two distinct socio-economic areas. Three stores are in low-income locations and three are in high-income locations. A time series cross-section model is estimated for five product categories across six cross sections over forty-two weeks. Results show lower-income shoppers to have more elastic demands for four of the five product categories: private label cold cereals, the top ten brands of cold cereals, all other brands of cold cereals, and hot cereals. Price is not statistically significant for a fifth product category, snack cereals. |
Tipo: Journal Article |
Palavras-chave: Consumer/Household Economics. |
Ano: 1994 |
URL: http://purl.umn.edu/26645 |
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