The use of quantile regression in consumer studies

Cristina Davino, Rosaria Romano, Tormod Næs

10 Citations (Scopus)

Abstract

The main objective of this paper is to describe and discuss the use of quantile regression in consumer studies. The situation analyzed is one of relating segments of consumers obtained based on their acceptance pattern to additional consumer characteristics, including attitudes, habits and demographics variables. The paper shows how the conditional quantiles of a distribution can provide additional insight that is not provided by standard regression approaches. This type of information can be important for understanding how for instance a consumer characteristic may influence disagreement in liking, which can be equally important as the predicted average liking. The advantages of the proposed methodology will be illustrated by data from a consumer test on iced coffee.

Original languageEnglish
JournalFood Quality and Preference
Volume40
Issue numberPart A
Pages (from-to)230–239
Number of pages10
ISSN0950-3293
DOIs
Publication statusPublished - 27 Oct 2014

Fingerprint

Dive into the research topics of 'The use of quantile regression in consumer studies'. Together they form a unique fingerprint.

Cite this