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Food-at-Home Expenditures: Comparing Commercial Household Scanner Data From IRI and Government Survey Data

Author

Listed:
  • Sweitzer, Megan
  • Brown, Derick
  • Karns, Shawn
  • Muth, Mary K.
  • Siegel, Peter
  • Zhen, Chen

Abstract

USDA’s Economic Research Service (ERS) purchased proprietary household and retail scanner data from market research firm IRI for use in economic research. In a series of studies, ERS and collaborators evaluated the statistical properties of the IRI scanner data for the years 2008 to 2012. This report compares the IRI Consumer Network household panel data to nationally representative Government survey data and describes implications for using the IRI data in analyses. The results show that expenditures in IRI are lower than those in the Consumer Expenditure Survey (CE) and the National Food Acquisition and Purchase Survey (FoodAPS) for all food categories across all years.

Suggested Citation

  • Sweitzer, Megan & Brown, Derick & Karns, Shawn & Muth, Mary K. & Siegel, Peter & Zhen, Chen, 2017. "Food-at-Home Expenditures: Comparing Commercial Household Scanner Data From IRI and Government Survey Data," Technical Bulletins 291969, United States Department of Agriculture, Economic Research Service.
    • Handle: RePEc:ags:uerstb:291969
    DOI: 10.22004/ag.econ.291969
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    Cited by:

    1. Joey Blumberg & Gary Thompson, 2022. "Nonparametric segmentation methods: Applications of unsupervised machine learning and revealed preference," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(3), pages 976-998, May.
    2. 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.
    3. 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.
    4. Pourya Valizadeh & Shu Wen Ng, 2021. "Would A National Sugar‐Sweetened Beverage Tax in the United States Be Well Targeted?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 961-986, May.
    5. Page, Elina T & Short, Gianna & Sneeringer, Stacy & Bowman, Maria, 2021. "The Market for Chicken Raised Without Antibiotics, 2012–17," Economic Information Bulletin 327364, United States Department of Agriculture, Economic Research Service.
    6. Young, Sabrina K. & Page, Elina T. & Okrent, Abigail & Sweitzer, Megan, 2023. "Assessment and Adjustment of Body Weight Measures in Scanner Data," Technical Bulletins 338949, United States Department of Agriculture, Economic Research Service.
    7. Cleary, Rebecca & Liu, Yizao & Carlson, Andrea C., 2022. "Differences in the Distribution of Nutrition Between Households Above and Below Poverty," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322267, Agricultural and Applied Economics Association.

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