A quality-based approach to estimating quantitative elasticities for differentiated products: an application to retail milk demand

Osman Gulseven*, Michael Wohlgenant

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

This article introduces the Hedonic Metric (HM) approach as an original method to model the demand for differentiated products using qualitative attributes. Our approach is based on a two-stage estimation procedure that utilizes qualitative characteristics of products. First, we create an n-dimensional hedonic space based on the qualitative information available to consumers. Next, we allocate the differentiated products into this space and estimate the quantitative demand elasticities for these products using qualitative factor distances. What distinguishes our model from traditional demand estimation models is the way we link elasticities with products’ qualitative attributes. Moreover, in traditional demand systems, the number of estimated parameters increases exponentially with the number of variables included in the model. Our model significantly reduces the number of parameters to be estimated, thereby making it possible to estimate large number of differentiated products in a single demand system.

Original languageEnglish
Pages (from-to)2077-2096
Number of pages20
JournalQuality and Quantity
Volume49
Issue number5
DOIs
Publication statusPublished - Sep 18 2015
Externally publishedYes

Keywords

  • Differentiated products
  • Distance metrics
  • Hedonic metrics
  • Milk demand
  • Qualitative analysis
  • Rotterdam model

ASJC Scopus subject areas

  • Statistics and Probability
  • Social Sciences(all)

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