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Drivers of COVID-19 deaths in the United States: A two-stage modeling approach

Author

Listed:
  • Kit Baum

    (Boston College)

  • Andrés Garcia-Suaza

    (University del Rosario)

  • Miguel Henry

    (QuantEcon Research)

  • Jesús Otero

    (University del Rosario)

Abstract

We offer a two-stage (time-series and cross-section) econometric modeling approach to examine the drivers behind the spread of COVID-19 deaths across counties in the United States. Our empirical strategy exploits the availability of two years (January 2020 through January 2022) of daily data on the number of conKrmed deaths and cases of COVID-19 in the 3,000 U.S. counties of the 48 contiguous states and the District of Columbia. In the Krst stage of the analysis, we use daily time-series data on COVID-19 cases and deaths to Kt mixed models of deaths against lagged conKrmed cases for each county. Because the resulting coeffcients are county specifc, they relax the homogeneity assumption that is implicit when the analysis is performed using geographically aggregated cross-section units. In the second stage of the analysis, we assume that these county estimates are a function of economic and sociodemographic factors that are taken as Kxed over the course of the pandemic. Here we employ the novel one-covariate-at-a- time variable-selection algorithm proposed by Chudik et al. (2018) to guide the choice of regressors.

Suggested Citation

  • Kit Baum & Andrés Garcia-Suaza & Miguel Henry & Jesús Otero, "undated". "Drivers of COVID-19 deaths in the United States: A two-stage modeling approach," Northern European Stata Conference 2023 01, Stata Users Group.
    • Handle: RePEc:boc:neur23:01
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    References listed on IDEAS

    as
    1. A. Chudik & G. Kapetanios & M. Hashem Pesaran, 2018. "A One Covariate at a Time, Multiple Testing Approach to Variable Selection in High‐Dimensional Linear Regression Models," Econometrica, Econometric Society, vol. 86(4), pages 1479-1512, July.
    2. Welsch David, 2022. "The Impact of Mask Usage on COVID-19 Deaths: Evidence from US Counties Using a Quasi-Experimental Approach," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 22(1), pages 1-28, January.
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