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Comparing the channels of US states' COVID-19 policy contagion

Author

Listed:
  • John Dogbey

    (Louisiana Tech University, College of Business)

  • Ghislain Gueye

    (Louisiana Tech University, College of Business)

  • Jonathan Peterson

    (Louisiana Tech University, College of Business)

Abstract

We employ Dogbey et al.'s (2024) method for studying the spread of US COVID-19 policy stringency to re-estimate and compare the magnitudes of the different COVID-19 policy contagion channels. We find that accounting for the state party affiliation as an additional channel of the contagion increases the total size from 30% to 44%.

Suggested Citation

  • John Dogbey & Ghislain Gueye & Jonathan Peterson, 2024. "Comparing the channels of US states' COVID-19 policy contagion," Economics Bulletin, AccessEcon, vol. 44(4), pages 1552-1559.
    • Handle: RePEc:ebl:ecbull:eb-24-00287
    as

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    File URL: http://www.accessecon.com/Pubs/EB/2024/Volume44/EB-24-V44-I4-P124.pdf
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    References listed on IDEAS

    as
    1. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2008. "Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large," Journal of Econometrics, Elsevier, vol. 146(1), pages 118-134, September.
    2. Sebastian Edwards, 2000. "Interest Rates, Contagion and Capital Controls," NBER Working Papers 7801, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    COVID-19 Policy; Geographic Neighbors; Governor Affiliation; State Affiliation; Spatial Durbin Model;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • R5 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis

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