Food-at-Home Expenditures: Comparing Commercial Household Scanner Data From IRI and Government Survey Data
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DOI: 10.22004/ag.econ.291969
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Cited by:
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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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Keywords
Consumer/Household Economics; Food Consumption/Nutrition/Food Safety;Statistics
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