ESTIMATION OF HOUSEHOLD BRAND-SIZE CHOICE MODELS FOR SPAGHETTI PRODUCTS WITH SCANNER DATA

The A.C. Nielson household scanner panel is used to analyze factors affecting brand-size choices for spaghetti. These data link product purchases, which are scanned, with household demographics and market information on the store where purchased. A multinominal logit model and a nested logit model are specified and estimated. In addition to the effects of inventory and brand loyalty, the most interesting results relate to the price elasticities of choice probabilities. These elasticities are much more elastic than those found in traditional food demand analysis. Different brands and sizes of spaghetti products on the same supermarket shelf are very close substitutes for the consumer.


Issue Date:
1996
Publication Type:
Working or Discussion Paper
PURL Identifier:
http://purl.umn.edu/14336
Total Pages:
31
Series Statement:
Working Paper 96-01




 Record created 2017-04-01, last modified 2017-08-23

Fulltext:
Download fulltext
PDF

Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)