Measuring the Degree of Retail Competition in U.S. Cheese Markets
Carlos Arnade,
Munisamy Gopinath and
Daniel Pick Additional contact information Carlos Arnade: Economic Research Service, USDA
Munisamy Gopinath: Oregon State University, Corvallis, Oregon, USA
Daniel Pick: Economic Research Service, USDA
Abstract:
The objective of this article is to measure the degree of competition among retail stores to sell a specific brand of a product. For this purpose, we estimate brand-specific demand equations along with first order conditions from stores' profit maximization. In stores' profit maximization, we account for three sources of conjectural variation: within a store but across brands, across stores for the same brand, and across stores for other brands. Data on U.S. retail store price and sales data on cheese products from ACNielsen Homescan database are used in our empirical analysis. A set of indices representing concentration of purchases across brands within each store and across stores for each brand are used to estimate conjectural elasticities. Results show the existence of price markups suggesting imperfectly competitive behavior in retail cheese markets.
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