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Cost Pass‐Through In Differentiated Product Markets: The Case Of U.S. Processed Cheese

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  • DONGHUN KIM
  • RONALD W. COTTERILL

Abstract

In this paper, we estimate a mixed logit model for demand in the U.S. processed cheese market. The estimates are used to determine pass‐through rates of cost changes under different behavioral regimes. We find that, under collusion, the pass‐through rates for all brands fall between 21% and 31% while, under Nash‐Bertrand price competition, the range of pass‐through rates is between 73% and 103%. The mixed logit model provides a more flexible framework for studying pass‐through rates than the logit model since the curvature of the demand functions depends upon the empirical distribution of consumer types.

Suggested Citation

  • Donghun Kim & Ronald W. Cotterill, 2008. "Cost Pass‐Through In Differentiated Product Markets: The Case Of U.S. Processed Cheese," Journal of Industrial Economics, Wiley Blackwell, vol. 56(1), pages 32-48, March.
    • Handle: RePEc:bla:jindec:v:56:y:2008:i:1:p:32-48
    DOI: 10.1111/j.1467-6451.2008.00331.x
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    References listed on IDEAS

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    1. Andrew W. Franklin & Ronald W. Cotterill, 1994. "Pricing and Market Strategies in the National Branded Cheese Industry," Food Marketing Policy Center Research Reports 026, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
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