Demand for ready-to-eat cereals with household-level censored purchase data and nutrition label information

A distance metric approach

Jing Li, Edward C. Jaenicke, Tobenna D. Anekwe, Alessandro Bonanno

Research output: Contribution to journalArticle

Abstract

We investigate the demand for ready-to-eat (RTE) breakfast cereals in the United States using censored, household-level purchase data matched with product-level nutrition data. Instead of using a multi-equation based approach, we propose an alternative approach that relies on Pinkse, Slade, and Brett's (2002) distance-metric (DM) method, which is highly practical and less burdensome computationally than some multiple-equation methods. Among other results, we find that households with children are less price sensitive to cereals with whole grain as the first ingredient and to cereals that contain a higher number of fortified vitamins. In addition, we find that households tend to switch between products with similar fiber content and whole grain content profiles.

Original languageEnglish (US)
Pages (from-to)687-713
Number of pages27
JournalAgribusiness
Volume34
Issue number4
DOIs
StatePublished - Sep 1 2018

Fingerprint

cereal
nutrition
agricultural product
purchase
households
whole grain foods
demand
breakfast cereals
Breakfast
vitamin
fiber content
Vitamins
vitamins
ingredients
methodology
household
Edible Grain
Cereals
Purchase
Household

All Science Journal Classification (ASJC) codes

  • Food Science
  • Geography, Planning and Development
  • Animal Science and Zoology
  • Agronomy and Crop Science
  • Economics and Econometrics

Cite this

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Demand for ready-to-eat cereals with household-level censored purchase data and nutrition label information : A distance metric approach. / Li, Jing; Jaenicke, Edward C.; Anekwe, Tobenna D.; Bonanno, Alessandro.

In: Agribusiness, Vol. 34, No. 4, 01.09.2018, p. 687-713.

Research output: Contribution to journalArticle

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