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Impact of the COVID-19 pandemic on agricultural commodity prices

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  • Sarasty, Oscar
  • Amin, Modhurima
  • Badruddoza, Syed

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  • Sarasty, Oscar & Amin, Modhurima & Badruddoza, Syed, 2022. "Impact of the COVID-19 pandemic on agricultural commodity prices," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322240, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea22:322240
    DOI: 10.22004/ag.econ.322240
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    References listed on IDEAS

    as
    1. Ana Claudia Sant’Anna & Ani L. Katchova, 2020. "Determinants of land value volatility in the U.S. Corn Belt," Applied Economics, Taylor & Francis Journals, vol. 52(37), pages 4058-4072, July.
    2. Mensi, Walid & Sensoy, Ahmet & Vo, Xuan Vinh & Kang, Sang Hoon, 2020. "Impact of COVID-19 outbreak on asymmetric multifractality of gold and oil prices," Resources Policy, Elsevier, vol. 69(C).
    3. Babikir, Ali & Gupta, Rangan & Mwabutwa, Chance & Owusu-Sekyere, Emmanuel, 2012. "Structural breaks and GARCH models of stock return volatility: The case of South Africa," Economic Modelling, Elsevier, vol. 29(6), pages 2435-2443.
    4. Eduardo Borensztein & Carmen M. Reinhart, 1994. "The Macroeconomic Determinants of Commodity Prices," IMF Staff Papers, Palgrave Macmillan, vol. 41(2), pages 236-261, June.
    5. Lawrence J. Christiano & Martin S. Eichenbaum & Mathias Trabandt, 2015. "Understanding the Great Recession," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(1), pages 110-167, January.
    6. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    7. Walden, Michael L., 2014. "Recovery from the Great Recession: Explaining Differences Among the States," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 44(2).
    8. Donald W. K. Andrews, 2003. "Tests for Parameter Instability and Structural Change with Unknown Change Point: A Corrigendum," Econometrica, Econometric Society, vol. 71(1), pages 395-397, January.
    9. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    10. Gkanoutas-Leventis, Angelos & Nesvetailova, Anastasia, 2015. "Financialisation, oil and the Great Recession," Energy Policy, Elsevier, vol. 86(C), pages 891-902.
    11. Maoyong Fan & Anita Alves Pena & Jeffrey M. Perloff, 2016. "Effects of the Great Recession on the U.S. Agricultural Labor Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(4), pages 1146-1157.
    12. James O. Bukenya & Natasha R. Wright, 2007. "Determinants of consumer attitudes and purchase intentions with regard to genetically modified tomatoes," Agribusiness, John Wiley & Sons, Ltd., vol. 23(1), pages 117-130.
    13. Fernandez-Perez, Adrian & Frijns, Bart & Tourani-Rad, Alireza, 2016. "Contemporaneous interactions among fuel, biofuel and agricultural commodities," Energy Economics, Elsevier, vol. 58(C), pages 1-10.
    14. Zhengliang Yang & Xiaoxue Du & Liang Lu & Hernan Tejeda, 2022. "Price and Volatility Transmissions among Natural Gas, Fertilizer, and Corn Markets: A Revisit," JRFM, MDPI, vol. 15(2), pages 1-14, February.
    15. Yuanyuan Zhang & Taufiq Choudhry, 2015. "Forecasting the daily dynamic hedge ratios by GARCH models: evidence from the agricultural futures markets," The European Journal of Finance, Taylor & Francis Journals, vol. 21(4), pages 376-399, March.
    16. Chernozhukov, Victor & Kasahara, Hiroyuki & Schrimpf, Paul, 2021. "Causal impact of masks, policies, behavior on early covid-19 pandemic in the U.S," Journal of Econometrics, Elsevier, vol. 220(1), pages 23-62.
    17. Ayesha Sayed & Christo Auret, 2020. "Volatility transmission in the South African white maize futures market," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 10(1), pages 71-88, March.
    18. Eduardo Borensztein & Carmen M. Reinhart, 1994. "The Macroeconomic Determinants of Commodity Prices," IMF Staff Papers, Palgrave Macmillan, vol. 41(2), pages 236-261, June.
    19. Christopher Gilbert, 2011. "International Agreements for Commodity Price Stabilisation: An Assessment," OECD Food, Agriculture and Fisheries Papers 53, OECD Publishing.
    20. Avalos, Fernando, 2014. "Do oil prices drive food prices? The tale of a structural break," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 253-271.
    21. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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