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Article
Using Revealed- and Stated-Preference Customer Choice Models for Making Pricing Decisions in Services: An Illustration from the Hospitality Industry
Articles and Chapters
  • Leo MacDonald, Kennesaw State University
  • Chris K. Anderson, Cornell University
  • Rohit Verma, Cornell University
Publication Date
1-1-2012
Abstract
This article presents an overview of discrete choice modeling for making pricing decisions in services. During recent years, discrete choice modeling has emerged as an effective approach for developing analytical models and for estimating relative weights of parameters based on empirical data. For estimation purposes, typically one of two forms of data is used: transactional data captured in databases (revealed-preference data); or primary experimental data (stated-preference data). In this article, we provide detailed illustration of both approaches for pricing decisions for hospitality services. Finally, we discuss the managerial implications of the discrete choice modeling approach described earlier in the article.
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Required Publisher Statement
© Palgrave Macmillan. Final version published as: MacDonald, L., Anderson, C. K., & Verma, R. (2012). Using revealed- and stated-preference customer choice models for making pricing decisions in services: An illustration from the hospitality industry. Journal of Revenue and Pricing Management, 11(2), 160-174. DOI: 10.1057/rpm.2010.21. Reprinted with permission. All rights reserved.

Citation Information

MacDonald, L., Anderson, C. K., & Verma, R. (2012). Using revealed- and stated-preference customer choice models for making pricing decisions in services: An illustration from the hospitality industry [Electronic version]. Retrieved [insert date], from Cornell University, School of Hospitality Administration site: http://scholarship.sha.cornell.edu/articles/405