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A meta‐analysis of U.S. food demand elasticities to detect the impacts of scanner data

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  • Younghyeon Jeon
  • Hoa Hoang
  • Wyatt Thompson
  • David Abler

Abstract

This paper investigates how scanner data affect demand elasticity estimates and develops methods for scientists to adapt estimated elasticities to analyses of specific policies. We conduct a meta‐analysis of U.S. demand elasticities and find evidence that scanner data generate statistically different elasticities, with more elastic demand than other data types. Own‐price elasticity estimates from household scanner quantity data appear to be more elastic than other quantity types. Household‐level estimates using retail scanner price data, as proxies for prices, tend to be more price‐elastic than other price types. These results suggest caution or adjustment when selecting elasticities for policy analysis.

Suggested Citation

  • Younghyeon Jeon & Hoa Hoang & Wyatt Thompson & David Abler, 2024. "A meta‐analysis of U.S. food demand elasticities to detect the impacts of scanner data," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(2), pages 760-780, June.
    • Handle: RePEc:wly:apecpp:v:46:y:2024:i:2:p:760-780
    DOI: 10.1002/aepp.13414
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    1. Colen, L. & Melo, P.C. & Abdul-Salam, Y. & Roberts, D. & Mary, S. & Gomez Y Paloma, S., 2018. "Income elasticities for food, calories and nutrients across Africa: A meta-analysis," Food Policy, Elsevier, vol. 77(C), pages 116-132.
    2. Andreyeva, T. & Long, M.W. & Brownell, K.D., 2010. "The impact of food prices on consumption: A systematic review of research on the price elasticity of demand for food," American Journal of Public Health, American Public Health Association, vol. 100(2), pages 216-222.
    3. Alain Carpentier & Hervé Guyomard, 2001. "Unconditional Elasticities in Two-Stage Demand Systems: An Approximate Solution," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 222-229.
    4. Bo Chen & Sayed Saghaian & Yuqing Zheng, 2018. "Organic labelling, private label, and U.S. household demand for fluid milk," Applied Economics, Taylor & Francis Journals, vol. 50(28), pages 3039-3050, June.
    5. Hertel, Thomas W., 2010. "The Global Supply and Demand for Agricultural Land in 2050: A Perfect Storm in the Making?," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 92639, Agricultural and Applied Economics Association.
    6. Liran Einav & Ephraim Leibtag & Aviv Nevo, 2010. "Recording discrepancies in Nielsen Homescan data: Are they present and do they matter?," Quantitative Marketing and Economics (QME), Springer, vol. 8(2), pages 207-239, June.
    7. Igal Hendel & Aviv Nevo, 2004. "Intertemporal Substitution and Storable Products," Journal of the European Economic Association, MIT Press, vol. 2(2-3), pages 536-547, 04/05.
    8. 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.
    9. Thomas W. Hertel, 2011. "The Global Supply and Demand for Agricultural Land in 2050: A Perfect Storm in the Making?-super- 1," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(2), pages 259-275.
    10. Chen Zhen & Eric A. Finkelstein & James M. Nonnemaker & Shawn A. Karns & Jessica E. Todd, 2014. "Predicting the Effects of Sugar-Sweetened Beverage Taxes on Food and Beverage Demand in a Large Demand System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 1-25.
    11. Gerald C. Nelson & Dominique Mensbrugghe & Helal Ahammad & Elodie Blanc & Katherine Calvin & Tomoko Hasegawa & Petr Havlik & Edwina Heyhoe & Page Kyle & Hermann Lotze-Campen & Martin Lampe & Daniel Ma, 2014. "Agriculture and climate change in global scenarios: why don't the models agree," Agricultural Economics, International Association of Agricultural Economists, vol. 45(1), pages 85-101, January.
    12. Craig A. Gallet, 2010. "Meat Meets Meta: A Quantitative Review of the Price Elasticity of Meat," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 258-272.
    13. Boonsaeng, Tullaya & Carpio, Carlos E., 2019. "A Comparison of Food Demand Estimation from Homescan and Consumer Expenditure Survey Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 44(1), January.
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