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Understanding IRI Household-Based and Store-Based Scanner Data

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Listed:
  • Muth, Mary K.
  • Sweitzer, Megan
  • Brown, Derick
  • Capogrossi, Kristen
  • Karns, Shawn A.
  • Levin, David
  • Okrent, Abigail
  • Siegel, Peter
  • Zhen, Chen

Abstract

Commercial scanner data on retail food purchases are an integral resource for a broad range of food policy research. ERS has acquired proprietary household and retail scanner data from IRI, a market research firm, including novel data on nutrition information and health and wellness claims for a large number of products. This report provides a detailed description of the methodology, characteristics, and statistical properties of these datasets and summarizes the limitations and considerations for using these data for food economics research. The report shows that the IRI data are an extensive, complex data source and provides an introduction to the data for new users and important considerations for advanced users.

Suggested Citation

  • Muth, Mary K. & Sweitzer, Megan & Brown, Derick & Capogrossi, Kristen & Karns, Shawn A. & Levin, David & Okrent, Abigail & Siegel, Peter & Zhen, Chen, 2016. "Understanding IRI Household-Based and Store-Based Scanner Data," Technical Bulletins 234905, United States Department of Agriculture, Economic Research Service.
    • Handle: RePEc:ags:uerstb:234905
    DOI: 10.22004/ag.econ.234905
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    4. Dong, Diansheng & Stewart, Hayden & Dong, Xiao & Hahn, William, 2022. "Quantifying Consumer Welfare Impacts of Higher Meat Prices During the COVID-19 Pandemic," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, vol. 2022(Economic ), April.
    5. McLaughlin, Patrick W. & Stevens, Alexander & Dong, Xiao & Chelius, Carolyn & Marchesi, Keenan & MacLachlan, Matthew, 2022. "COVID-19 Working Paper National Trends in Food Retail Sales During the COVID-19 Pandemic: Findings from information Resources, Inc. (IRI) Retail-Based Scanner Data," USDA Miscellaneous 333527, United States Department of Agriculture.
    6. Carlson, Andrea C. & Waldrop, Megan, 2018. "Estimating Retail Organic Price Premiums for Snack Foods Using Scanner Data from 2013 to 2016," 2018 Annual Meeting, August 5-7, Washington, D.C. 274053, Agricultural and Applied Economics Association.
    7. F. Kuchler & M. Bowman & M. Sweitzer & C. Greene, 2020. "Evidence from Retail Food Markets That Consumers Are Confused by Natural and Organic Food Labels," Journal of Consumer Policy, Springer, vol. 43(2), pages 379-395, June.
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    12. Kirli, Desen & Couraud, Benoit & Robu, Valentin & Salgado-Bravo, Marcelo & Norbu, Sonam & Andoni, Merlinda & Antonopoulos, Ioannis & Negrete-Pincetic, Matias & Flynn, David & Kiprakis, Aristides, 2022. "Smart contracts in energy systems: A systematic review of fundamental approaches and implementations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    13. Chenarides, Lauren & Jaenicke, Edward C. & Li, Jing, 2017. "Welfare Impacts from Store Attribute-Based Policy Interventions in an Urban Setting: An Application to Philadelphia," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258270, Agricultural and Applied Economics Association.
    14. Chen Zhen & Mary Muth & Abigail Okrent & Shawn Karns & Derick Brown & Peter Siegel, 2019. "Do differences in reported expenditures between household scanner data and expenditure surveys matter in health policy research?," Health Economics, John Wiley & Sons, Ltd., vol. 28(6), pages 782-800, June.
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