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Panel Regression Modelling for COVID-19 Infections and Deaths in Tamil Nadu, India

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  • Rajarathinam Arunachalam

    (Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli 627012, India)

Abstract

The impacts of the coronavirus disease 2019 (COVID-19) pandemic have been extremely severe, with both economic and health crises experienced worldwide. Based on the panel regression model, this study examined the trends and correlations in the number of COVID-19-related deaths and the number of COVID-19-infected cases in all 37 regions of the Tamil Nadu state in India, in August 2020. The fixed effects model had the greatest R 2 value of 78% and exhibited significant results. The slope coefficient was also highly significant, showing a considerable variation in the relationship between new COVID-19 cases and deaths. Additionally, for every unit increase in COVID-19-infected cases, the death rate increased by 0.02%.

Suggested Citation

  • Rajarathinam Arunachalam, 2023. "Panel Regression Modelling for COVID-19 Infections and Deaths in Tamil Nadu, India," Data, MDPI, vol. 8(10), pages 1-11, October.
    • Handle: RePEc:gam:jdataj:v:8:y:2023:i:10:p:158-:d:1265671
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    References listed on IDEAS

    as
    1. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    2. Biorn, Erik, 2016. "Econometrics of Panel Data: Methods and Applications," OUP Catalogue, Oxford University Press, number 9780198753445, Decembrie.
    3. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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