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Food Price Inflation in the United States as a Complex Dynamic Economic System

Author

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  • Parum Faith

    (Texas A&M University, College Station, USA)

  • Dharmasena Senarath

    (Texas A&M University, College Station, USA)

Abstract

The issue of volatile food prices is a consistent problem for American consumers, as rising prices make it challenging to afford nutritious food that meets dietary standards. Various complex factors influence this price volatility, including economic conditions, weather patterns, global trade, energy prices, and more. Notably, the impact of food price increases is not equal for everyone. Low-income individuals and those in rural areas are disproportionately affected. A comprehensive understanding of the driving factors is essential to tackle this issue effectively. We employ advanced time-series techniques such as Vector Error Correction Models (VECM) and modern causal inference methods such as probabilistic graphical models implemented via machine learning and artificial intelligence approaches on monthly data from 2000 to 2021 to investigate the U.S. food price inflation issue. These methods help unravel the intricate dynamics among key variables driving food price inflation. The study aims to achieve several objectives. It intends to (1) clarify how factors influencing food price inflation in the U.S. change over time using VECM models, (2) establish causal relationships among interconnected variables to develop probabilistic graphical models using innovative search algorithms, and (3) create and validate forecasts related to U.S. food price inflation. The end goal is to provide actionable insights for policy design. Results show that food price inflation is heavily tied to commodity pricing and pricing for medical services. Additionally, historical decompositions for COVID-19 show ties between food price inflation and energy inflation.

Suggested Citation

  • Parum Faith & Dharmasena Senarath, 2024. "Food Price Inflation in the United States as a Complex Dynamic Economic System," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 22(2), pages 113-132.
    • Handle: RePEc:bpj:bjafio:v:22:y:2024:i:2:p:113-132:n:1002
    DOI: 10.1515/jafio-2023-0043
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    References listed on IDEAS

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    1. David Zilberman & Gal Hochman & Deepak Rajagopal & Steve Sexton & Govinda Timilsina, 2013. "The Impact of Biofuels on Commodity Food Prices: Assessment of Findings," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 275-281.
    2. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    3. Christopher L. Gilbert, 2010. "How to Understand High Food Prices," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 398-425, June.
    4. Jayatilleke S. Bandara & Yiyong Cai, 2014. "The impact of climate change on food crop productivity, food prices and food security in South Asia," Economic Analysis and Policy, Elsevier, vol. 44(4), pages 451-465.
    5. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    6. 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.
    7. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    8. Kalkuhl, Matthias & von Braun, Joachim & Torero, Maximo, 2016. "Food Price Volatility and Its Implications for Food Security and Policy," MPRA Paper 72164, University Library of Munich, Germany.
    9. Michael S. Haigh & David A. Bessler, 2004. "Causality and Price Discovery: An Application of Directed Acyclic Graphs," The Journal of Business, University of Chicago Press, vol. 77(4), pages 1099-1121, October.
    10. Selva Demiralp & Kevin D. Hoover, 2003. "Searching for the Causal Structure of a Vector Autoregression," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(s1), pages 745-767, December.
    11. Selva Demiralp & Kevin D. Hoover, 2003. "Searching for the Causal Structure of a Vector Autoregression," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(s1), pages 745-767, December.
    12. Matthias Kalkuhl & Joachim von Braun & Maximo Torero (ed.), 2016. "Food Price Volatility and Its Implications for Food Security and Policy," Springer Books, Springer, number 978-3-319-28201-5, June.
    13. David A Bessler & Jian Yang & Metha Wongcharupan, 2003. "Price Dynamics in the International Wheat Market: Modeling with Error Correction and Directed Acyclic Graphs," Journal of Regional Science, Wiley Blackwell, vol. 43(1), pages 1-33, February.
    14. Cromartie, John & Dobis, Elizabeth & Krumel, Thomas & Mcgranahan,David & Pender, John, 2020. "Rural America at a Glance: 2020 Edition," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, vol. 2020, December.
    15. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    16. Lusk, Jayson L. & McFadden, Brandon R., 2021. "Consumer Food Buying during a Recession," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 36(3), May.
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