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

Author

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  • 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

    as
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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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