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Quantile ARDL Estimation of the Relationship between the Confirmed COVID-19 Cases and Deaths in the U.S

Author

Listed:
  • Xin Jing

    (Yonsei University)

  • Jin Seo Cho

    (Yonsei University)

Abstract

This study exploits the quantile ARDL model to investigate the dynamic relationship between the confirmed COVID-19 cases and deaths in the U.S. following vaccination, with a focus on examining heterogeneity across different percentiles. The findings indicate that the confirmed case fatality rate decreased after vaccination, and the relationship between confirmed cases and deaths varies across different percentiles.

Suggested Citation

  • Xin Jing & Jin Seo Cho, 2025. "Quantile ARDL Estimation of the Relationship between the Confirmed COVID-19 Cases and Deaths in the U.S," Working papers 2025rwp-247, Yonsei University, Yonsei Economics Research Institute.
    • Handle: RePEc:yon:wpaper:2025rwp-247
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    References listed on IDEAS

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    1. Kountouris, Yiannis & Remoundou, Kyriaki, 2024. "Education and vaccine hesitancy: Evidence from the Covid-19 pandemic," Economics Letters, Elsevier, vol. 240(C).
    2. Kim, Dongwoo & Lee, Young Jun, 2022. "Vaccination strategies and transmission of COVID-19: Evidence across advanced countries," Journal of Health Economics, Elsevier, vol. 82(C).
    3. McPhedran, Robert & Toombs, Ben, 2021. "Efficacy or delivery? An online Discrete Choice Experiment to explore preferences for COVID-19 vaccines in the UK," Economics Letters, Elsevier, vol. 200(C).
    4. Xin Jing & Jin Seo Cho, 2025. "Forecasting the Confirmed COVID‐19 Cases Using Modal Regression," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(4), pages 1578-1601, July.
    5. Fang, Hanming & Wang, Long & Yang, Yang, 2020. "Human mobility restrictions and the spread of the Novel Coronavirus (2019-nCoV) in China," Journal of Public Economics, Elsevier, vol. 191(C).
    6. Cho, Jin Seo & Kim, Tae-hwan & Shin, Yongcheol, 2015. "Quantile cointegration in the autoregressive distributed-lag modeling framework," Journal of Econometrics, Elsevier, vol. 188(1), pages 281-300.
    7. Porto, Edoardo Di & Naticchioni, Paolo & Scrutinio, Vincenzo, 2022. "Lockdown, essential sectors, and Covid-19: Lessons from Italy," Journal of Health Economics, Elsevier, vol. 81(C).
    8. Megan O’Driscoll & Gabriel Ribeiro Dos Santos & Lin Wang & Derek A. T. Cummings & Andrew S. Azman & Juliette Paireau & Arnaud Fontanet & Simon Cauchemez & Henrik Salje, 2021. "Age-specific mortality and immunity patterns of SARS-CoV-2," Nature, Nature, vol. 590(7844), pages 140-145, February.
    9. Liu, Laura & Moon, Hyungsik Roger & Schorfheide, Frank, 2021. "Panel forecasts of country-level Covid-19 infections," Journal of Econometrics, Elsevier, vol. 220(1), pages 2-22.
    10. Aman Ullah & Tao Wang & Weixin Yao, 2022. "Nonlinear modal regression for dependent data with application for predicting COVID‐19," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1424-1453, July.
    11. Feiyu Jiang & Zifeng Zhao & Xiaofeng Shao, 2022. "Modelling the COVID‐19 infection trajectory: A piecewise linear quantile trend model," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(5), pages 1589-1607, November.
    12. Tan, Micah & Straughan, Paulin Tay & Cheong, Grace, 2022. "Information trust and COVID-19 vaccine hesitancy amongst middle-aged and older adults in Singapore: A latent class analysis Approach," Social Science & Medicine, Elsevier, vol. 296(C).
    13. Francisca Rosendo Silva & Marta Simões & João Sousa Andrade, 2018. "Health investments and economic growth: a quantile regression approach," International Journal of Development Issues, Emerald Group Publishing Limited, vol. 17(2), pages 220-245, May.
    14. Okada, Keisuke, 2018. "Health and political regimes: Evidence from quantile regression," Economic Systems, Elsevier, vol. 42(2), pages 307-319.
    15. Abel Brodeur & David Gray & Anik Islam & Suraiya Bhuiyan, 2021. "A literature review of the economics of COVID‐19," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1007-1044, September.
    16. Louise Rawlings & Jeffrey C. L. Looi & Stephen J. Robson, 2022. "Economic Considerations in COVID‐19 Vaccine Hesitancy and Refusal: A Survey of the Literature," The Economic Record, The Economic Society of Australia, vol. 98(321), pages 214-229, June.
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    Keywords

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    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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