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Modeling the Distribution of Price Sensitivity and Implications for Optimal Retail Pricing

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  • Kim, Byung-Do
  • Blattberg, Robert C
  • Rossi, Peter E

Abstract

This paper focuses on the distribution of price sensitivity across consumers. The authors employ a random coefficient logit model in which brand specific intercepts and price slope coefficients are allowed to vary across households. The model is estimated with panel data for two product categories. The implications of the estimated model are deduced through an optimal retail pricing analysis that combines the panel data with chain-level cost figures. The authors test parametric distributional assumptions using semiparametric density estimates based on series expansions.

Suggested Citation

  • Kim, Byung-Do & Blattberg, Robert C & Rossi, Peter E, 1995. "Modeling the Distribution of Price Sensitivity and Implications for Optimal Retail Pricing," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 291-303, July.
    • Handle: RePEc:bes:jnlbes:v:13:y:1995:i:3:p:291-303
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