Modeling the Distribution of Price Sensitivity and Implications for Optimal Retail Pricing
Byung-Do Kim,
Robert C Blattberg and
Peter Rossi ()
Journal of Business & Economic Statistics, 1995, vol. 13, issue 3, 291-303
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.
Date: 1995
References: Add references at CitEc
Citations: View citations in EconPapers (29)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bes:jnlbes:v:13:y:1995:i:3:p:291-303
Ordering information: This journal article can be ordered from
http://www.amstat.org/publications/index.html
Access Statistics for this article
Journal of Business & Economic Statistics is currently edited by Jonathan H. Wright and Keisuke Hirano
More articles in Journal of Business & Economic Statistics from American Statistical Association
Bibliographic data for series maintained by Christopher F. Baum ().