IDEAS home Printed from https://ideas.repec.org/a/ags/uersaw/329723.html
   My bibliography  Save this article

Quantifying Consumer Welfare Impacts of Higher Meat Prices During the COVID-19 Pandemic

Author

Listed:
  • Dong, Diansheng
  • Stewart, Hayden
  • Dong, Xiao
  • Hahn, William

Abstract

While the U.S. food system has been largely able to maintain operations and provide consumers with the variety of foods they desire since the Coronavirus (COVID-19) pandemic began, U.S. households faced sharply higher food prices for many staple items, especially meat in 2020. In this study, U.S. households’ meat purchases at retail stores for at-home consumption during the COVID-19 pandemic are examined and compared with those before the virus outbreak.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:uersaw:329723
    DOI: 10.22004/ag.econ.329723
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/329723/files/USDA%20ERS%20-%20Quantifying%20Consumer%20Welfare%20Impacts%20of%20Higher%20Meat%20Prices%20During%20the%20COVID-19%20Pandemic.html
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.329723?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Wu, De-Min, 1973. "Alternative Tests of Independence Between Stochastic Regressors and Disturbances," Econometrica, Econometric Society, vol. 41(4), pages 733-750, July.
    2. MacDonald, James M. & McBride, William D., 2009. "The Transformation of U.S. Livestock Agriculture: Scale, Efficiency, and Risks," Economic Information Bulletin 58311, United States Department of Agriculture, Economic Research Service.
    3. Paul B. Ellickson, 2007. "Does Sutton apply to supermarkets?," RAND Journal of Economics, RAND Corporation, vol. 38(1), pages 43-59, March.
    4. Sebastien Lecocq & Jean-Marc Robin, 2015. "Estimating almost-ideal demand systems with endogenous regressors," Stata Journal, StataCorp LP, vol. 15(2), pages 554-573, June.
    5. Jeffrey T. LaFrance, 1993. "Weak Separability in Applied Welfare Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(3), pages 770-775.
    6. Lee L. Schulz & Ted C. Schroeder & Tian Xia, 2012. "Studying composite demand using scanner data: the case of ground beef in the US," Agricultural Economics, International Association of Agricultural Economists, vol. 43, pages 49-57, November.
    7. Jayson L. Lusk & Glynn T. Tonsor, 2016. "How Meat Demand Elasticities Vary with Price, Income, and Product Category," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 38(4), pages 673-711.
    8. Hahn, William F. & Davis, Christopher G., 2014. "Costs of Taxing Sodium: A Lunch Meat Application," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 17(A), pages 1-16, March.
    9. James S. Eales & Laurian J. Unnevehr, 1988. "Demand for Beef and Chicken Products: Separability and Structural Change," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 521-532.
    10. Okrent, Abigail M. & Alston, Julian M., 2012. "The Demand for Disaggregated Food-Away-from-Home and Food-at-Home Products in the United States," Economic Research Report 132469, United States Department of Agriculture, Economic Research Service.
    11. Diansheng Dong & Brian W. Gould & Harry M. Kaiser, 2004. "Food Demand in Mexico: An Application of the Amemiya-Tobin Approach to the Estimation of a Censored Food System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1094-1107.
    12. Attanasio, Orazio & Di Maro, Vincenzo & Lechene, Valérie & Phillips, David, 2013. "Welfare consequences of food prices increases: Evidence from rural Mexico," Journal of Development Economics, Elsevier, vol. 104(C), pages 136-151.
    13. Saitone, Tina L. & Aleks Schaefer, K. & Scheitrum, Daniel P., 2021. "COVID-19 morbidity and mortality in U.S. meatpacking counties," Food Policy, Elsevier, vol. 101(C).
    14. Balagtas, Joseph V. & Cooper, Joseph, 2021. "The Impact of COVID-19 on United States Meat and Livestock Markets," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 36(3), May.
    15. David L. Edgerton, 1997. "Weak Separability and the Estimation of Elasticities in Multistage Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 62-79.
    16. 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.
    17. Lauren Chenarides & Carola Grebitus & Jayson L. Lusk & Iryna Printezis, 2021. "Food consumption behavior during the COVID‐19 pandemic," Agribusiness, John Wiley & Sons, Ltd., vol. 37(1), pages 44-81, January.
    18. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    19. Sellen, Daniel & Goddard, Ellen, 1997. "Weak Separability in Coffee Demand Systems," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 24(1), pages 133-144.
    20. Brian W. Gould, 2003. "An Empirical Assessment of Endogeneity Issues in Demand Analysis for Differentiated Products," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(3), pages 605-617.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ghazaryan, Armen & Bonanno, Alessandro & Carlson, Andrea, 2023. "I Say Milk, You Say Mylk. Demand Separability in a Broadened Milk Category," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 48(2), May.
    2. Korir, Lilian & Rizov, Marian & Ruto, Eric, 2020. "Food security in Kenya: Insights from a household food demand model," Economic Modelling, Elsevier, vol. 92(C), pages 99-108.
    3. Asfaw, Solomon & Cattaneo, Andrea & Pallante, Giacomo & Palma, Alessandro, 2017. "Improving the efficiency targeting of Malawi's farm input subsidy programme: Big pain, small gain?," Food Policy, Elsevier, vol. 73(C), pages 104-118.
    4. Sato, Hideyasu, 2021. "Generalized Axiom of Revealed Preference Tests for Foods and Drinks: The Case of Using POS Data in Japan," 2021 ASAE 10th International Conference (Virtual), January 11-13, Beijing, China 329424, Asian Society of Agricultural Economists (ASAE).
    5. Dietrich, Stephan & Schmerzeck, Georg, 2020. "For real? Income and non-income effects of cash transfers on the demand for food," MERIT Working Papers 2020-006, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    6. Sato, Hideyasu & 佐藤, 秀保, 2020. "Do Large-scale Point-of-sale Data Satisfy the Generalized Axiom of Revealed Preference in Aggregation Using Representative Price Indexes?: A Case Involving Processed Food and Beverages," RCESR Discussion Paper Series DP19-2, Research Center for Economic and Social Risks, Institute of Economic Research, Hitotsubashi University.
    7. Kimsanova, Barchynai & Sanaev, Golib & Herzfeld, Thomas, 2022. "Dynamics of food consumption during political instability: evidence from Kyrgyzstan," 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium 321213, Agricultural Economics Society - AES.
    8. Vardges Hovhannisyan & Brian W. Gould, 2011. "Quantifying the structure of food demand in China: An econometric approach," Agricultural Economics, International Association of Agricultural Economists, vol. 42, pages 1-18, November.
    9. Caputo, Vincenzina & Lusk, Jayson L., 2022. "The Basket-Based Choice Experiment: A Method for Food Demand Policy Analysis," Food Policy, Elsevier, vol. 109(C).
    10. Njonou, Rabelais Yankam & Frahan, Bruno Henry de & Surry, Yves R., 2002. "Testing Separability for Common Wheat Qualities in French Import Demand Market Using Aids and Rotterdam Demand Models," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24921, European Association of Agricultural Economists.
    11. Shojaeddini, Ensieh & Schreiber, Andrew & Wolverton, Ann & Marten, Alex, 2024. "Consumer demand and the economy-wide costs of regulation: Modeling households with empirically estimated flexible functional forms," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    12. Li, Shaoting & Chen, Xuan & Ren, Yanjun & Glauben, Thomas, 2024. "The impact of demographic dynamics on food consumption and its environmental outcomes: Evidence from China," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 23(2), pages 414-429.
    13. Ping Wang & Nhuong Tran & Dolapo Enahoro & Chin Yee Chan & Kelvin Mashisia Shikuku & Karl M. Rich & Kendra Byrd & Shakuntala H. Thilsted, 2022. "Spatial and temporal patterns of consumption of animal‐source foods in Tanzania," Agribusiness, John Wiley & Sons, Ltd., vol. 38(2), pages 328-348, April.
    14. Hanna Lindström, 2022. "The Swedish consumer market for organic and conventional milk: A demand system analysis," Agribusiness, John Wiley & Sons, Ltd., vol. 38(3), pages 505-532, July.
    15. Xu, Lei, 2024. "Household Food Waste Patterns: Exploring Categorical Price and Expenditure Elasticities Using a Demand System Approach," 2024 Annual Meeting, July 28-30, New Orleans, LA 343717, Agricultural and Applied Economics Association.
    16. Ming-Feng Hsieh & Paul D. Mitchell & Kyle W. Stiegert, 2009. "Potato demand in an increasingly organic marketplace," Agribusiness, John Wiley & Sons, Ltd., vol. 25(3), pages 369-394.
    17. Hovhannisyan, Vardges & Gould, Brian W., 2010. "Quantifying the Structure of Food Demand in China Using a Generalized Quadratic AIDS Specification," 2010 Annual Meeting, February 6-9, 2010, Orlando, Florida 56422, Southern Agricultural Economics Association.
    18. Femenia, Fabienne, 2019. "A Meta-Analysis of the Price and Income Elasticities of Food Demand," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 68(2), June.
    19. Hovhannisyan, Vardges & Shanoyan, Aleksan, 2018. "An Empirical Analysis Of Welfare Consequences Of Rising Food Prices In Urban China: The Easi Approach," 2018 Annual Meeting, August 5-7, Washington, D.C. 273987, Agricultural and Applied Economics Association.
    20. Zsombor Cseres-Gergely & Gyorgy Molnar & Tibor Szabo, 2017. "Expenditure responses, policy interventions and heterogeneous welfare effects in Hungary during the 2000s," CERS-IE WORKING PAPERS 1704, Institute of Economics, Centre for Economic and Regional Studies.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:uersaw:329723. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/ersgvus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.