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

Osman Gulseven and Michael Wohlgenant ()

Quality & Quantity: International Journal of Methodology, 2015, vol. 49, issue 5, 2077-2096

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. Copyright Springer Science+Business Media Dordrecht 2015

Keywords: Hedonic metrics; Qualitative analysis; Distance metrics; Rotterdam model; Differentiated products; Milk demand (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:49:y:2015:i:5:p:2077-2096

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DOI: 10.1007/s11135-014-0094-8

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