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Explaining Governors’ Response to the COVID-19 Pandemic in the United States

Author

Listed:
  • Leonardo Baccini

    (McGill University and CIREQ)

  • Abel Brodeur

    (University of Ottawa and IZA)

Abstract

What is the response of US governors to the COVID-19 pandemic? In this research note, we explore the determinants of implementing stay-at-home orders, focusing on governors’ characteristics. In our most conservative estimate, being a Democratic governor increases the probability of implementing a stay-at-home order by more than 50 percent. Moreover, we find that the probability of implementing a statewide stay-at-home order is about 40 percent more likely for governors without a term limit than governors with a term limit. We also find that Democratic governors and governors without a term limit are significantly faster to adopt statewide orders than Republican governors and governors with a term limit. There is evidence of politics as usual in these unusual times.

Suggested Citation

  • Leonardo Baccini & Abel Brodeur, 2020. "Explaining Governors’ Response to the COVID-19 Pandemic in the United States," Cahiers de recherche 11-2020, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  • Handle: RePEc:mtl:montec:11-2020
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    References listed on IDEAS

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    1. Ferreira, Fernando & Gyourko, Joseph, 2014. "Does gender matter for political leadership? The case of U.S. mayors," Journal of Public Economics, Elsevier, vol. 112(C), pages 24-39.
    2. Timothy Besley & Anne Case, 1995. "Does Electoral Accountability Affect Economic Policy Choices? Evidence from Gubernatorial Term Limits," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(3), pages 769-798.
    3. Johanna Catherine Maclean & Melissa Oney & Joachim Marti & Jody Sindelar, 2018. "What factors predict the passage of state‐level e‐cigarette regulations?," Health Economics, John Wiley & Sons, Ltd., vol. 27(5), pages 897-907, May.
    4. Niklas Potrafke, 2018. "Government ideology and economic policy-making in the United States—a survey," Public Choice, Springer, vol. 174(1), pages 145-207, January.
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    Citations

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    Cited by:

    1. Béland, Louis-Philippe & Brodeur, Abel & Wright, Taylor, 2020. "The Short-Term Economic Consequences of COVID-19: Exposure to Disease, Remote Work and Government Response," GLO Discussion Paper Series 524, Global Labor Organization (GLO).
    2. Abel Brodeur & Idaliya Grigoryeva & Lamis Kattan, 2021. "Stay-at-home orders, social distancing, and trust," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1321-1354, October.
    3. Libman, A., 2020. "Decentralization of crisis, weakness and responsibility," Journal of the New Economic Association, New Economic Association, vol. 46(2), pages 181-187.
    4. Bazzi, Samuel & Fiszbein, Martin & Gebresilasse, Mesay, 2021. "“Rugged individualism” and collective (in)action during the COVID-19 pandemic," Journal of Public Economics, Elsevier, vol. 195(C).
    5. Louis-Philippe Beland & Abel Brodeur & Taylor Wright, 2020. "COVID-19, Stay-at-Home Orders and Employment: Evidence from CPS Data," Carleton Economic Papers 20-04, Carleton University, Department of Economics, revised 19 May 2020.
    6. Fuest, Clemens & Immel, Lea & Neumeier, Florian & Peichl, Andreas, 2023. "Does expert information affect citizens’ attitudes toward Corona policies? Evidence from Germany," European Journal of Political Economy, Elsevier, vol. 78(C).
    7. Brodeur, Abel & Cook, Nikolai & Wright, Taylor, 2021. "On the effects of COVID-19 safer-at-home policies on social distancing, car crashes and pollution," Journal of Environmental Economics and Management, Elsevier, vol. 106(C).
    8. De Simone Elina & Mourao Paulo Reis, 2021. "What determines governments’ response time to COVID-19? A cross-country inquiry on the measure restricting internal movements," Open Economics, De Gruyter, vol. 4(1), pages 106-117, January.
    9. G. Bakam Fotso & E. I. Edoun & A. Pradhan & N. Sukdeo, 2022. "A framework for economic performance recovery in South Africa during the Corona Virus Disease 2019 (Covid-19) pandemic," Technium Social Sciences Journal, Technium Science, vol. 27(1), pages 401-422, January.
    10. Leonardo Baccini & Abel Brodeur & Stephen Weymouth, 2021. "The COVID-19 pandemic and the 2020 US presidential election," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 739-767, April.
    11. Etienne Farvaque & Hira Iqbal & Nicolas Ooghe, 2020. "Health politics? Determinants of US states’ reactions to COVID-19," Post-Print hal-03128875, HAL.
    12. Vincent Miozzi & Benjamin Powell, 2023. "The pre-pandemic political economy determinants of lockdown severity," Public Choice, Springer, vol. 197(1), pages 167-183, October.
    13. Gill, Balbinder Singh, 2024. "COVID-19 mortality risk premium and the interest rate on mortgage loans," International Review of Financial Analysis, Elsevier, vol. 93(C).
    14. Gutierrez, Emilio & Rubli, Adrian & Tavares, Tiago, 2022. "Information and behavioral responses during a pandemic: Evidence from delays in Covid-19 death reports," Journal of Development Economics, Elsevier, vol. 154(C).

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    More about this item

    Keywords

    COVID-19; pandemic; ideology; governors; United States;
    All these keywords.

    JEL classification:

    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • P16 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Capitalist Institutions; Welfare State

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