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The Resiliency of Pork Processing Plants during the COVID-19 Pandemic

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  • Padilla, Samantha
  • Schulz, Lee
  • Vaiknoras, Kate A.
  • MacLachlan, Matthew J.

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Suggested Citation

  • Padilla, Samantha & Schulz, Lee & Vaiknoras, Kate A. & MacLachlan, Matthew J., 2022. "The Resiliency of Pork Processing Plants during the COVID-19 Pandemic," 2024 Annual Meeting, July 28-30, New Orleans, LA 322448, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea22:322448
    DOI: 10.22004/ag.econ.322448
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    References listed on IDEAS

    as
    1. Jayson L. Lusk & Glynn T. Tonsor & Lee L. Schulz, 2021. "Beef and Pork Marketing Margins and Price Spreads during COVID‐19," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(1), pages 4-23, March.
    2. Wooldridge, Jeffrey M., 2019. "Correlated random effects models with unbalanced panels," Journal of Econometrics, Elsevier, vol. 211(1), pages 137-150.
    3. Vaiknoras, Kate & Hahn, William & Padilla, Samantha & Valcu-Lisman, Adriana & Grossen, Grace, "undated". "COVID-19 Working Paper: COVID-19 and the U.S. Meat and Poultry Supply Chains," USDA Miscellaneous 319353, United States Department of Agriculture.
    4. James M. MacDonald & Michael E. Ollinger, 2000. "Scale Economies and Consolidation in Hog Slaughter," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(2), pages 334-346.
    5. Vogelsang, Timothy J., 2012. "Heteroskedasticity, autocorrelation, and spatial correlation robust inference in linear panel models with fixed-effects," Journal of Econometrics, Elsevier, vol. 166(2), pages 303-319.
    6. Bina, Justin D. & Tonsor, Glynn T. & Schulz, Lee L. & Hahn, William F., 2022. "Regional and plant-size impacts of COVID-19 on beef processing," Food Policy, Elsevier, vol. 108(C).
    7. Padilla, Samantha & Schulz, Lee L. & Vaiknoras, Kate & MacLachlan, Matthew, "undated". "COVID-19 Working Paper: Changes in Regional Hog Slaughter During COVID-19," USDA Miscellaneous 316501, United States Department of Agriculture.
    8. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    9. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    10. Riju Joshi & Jeffrey M. Wooldridge, 2019. "Correlated Random Effects Models with Endogenous Explanatory Variables and Unbalanced Panels," Annals of Economics and Statistics, GENES, issue 134, pages 243-268.
    11. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    12. Galaitsi, S.E. & Cegan, Jeffrey C. & Volk, Kaitlin & Joyner, Matthew & Trump, Benjamin D. & Linkov, Igor, 2021. "The challenges of data usage for the United States’ COVID-19 response," International Journal of Information Management, Elsevier, vol. 59(C).
    13. Ryan Vroegindewey & Jennifer Hodbod, 2018. "Resilience of Agricultural Value Chains in Developing Country Contexts: A Framework and Assessment Approach," Sustainability, MDPI, vol. 10(4), pages 1-18, March.
    14. Yiqun Ma & Sen Pei & Jeffrey Shaman & Robert Dubrow & Kai Chen, 2021. "Role of meteorological factors in the transmission of SARS-CoV-2 in the United States," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    15. Daniel Hoechle, 2007. "Robust standard errors for panel regressions with cross-sectional dependence," Stata Journal, StataCorp LLC, vol. 7(3), pages 281-312, September.
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