IDEAS home Printed from https://ideas.repec.org/p/bfi/wpaper/2020-116.html
   My bibliography  Save this paper

COVID-19 Lockdown Policies at the State and Local Level

Author

Listed:
  • Austan Goolsbee

    (University of Chicago - Booth School of Business; NBER)

  • Nicole Bei Luo

    (University of Chicago - Booth School of Business)

  • Roxanne Nesbitt

    (Yale University)

  • Chad Syverson

    (University of Chicago - Booth School of Business; NBER)

Abstract

This paper describes a new publicly available dataset on shutdown orders and related policies at the county and city level across the United States during the early part of the COVID-19 crisis, from March through May of 2020. In hundreds of counties around the country, local governments issued sheltering orders before their state did. Larger counties and counties with higher incidence of the disease and lower GOP vote shares were more likely to enact early sheltering policies. Basic analysis of the economic impact of the orders indicates that the county-level information is important and substantially more accurate than using state-level information alone.

Suggested Citation

  • Austan Goolsbee & Nicole Bei Luo & Roxanne Nesbitt & Chad Syverson, 2020. "COVID-19 Lockdown Policies at the State and Local Level," Working Papers 2020-116, Becker Friedman Institute for Research In Economics.
    • Handle: RePEc:bfi:wpaper:2020-116
    as

    Download full text from publisher

    File URL: https://repec.bfi.uchicago.edu/RePEc/pdfs/BFI_WP_2020116.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brzezinski, Adam & Deiana, Guido & Kecht, Valentin & Van Dijcke, David, 2020. "The COVID-19 Pandemic: Government vs. Community Action Across the United States," INET Oxford Working Papers 2020-06, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    2. Sumedha Gupta & Thuy D. Nguyen & Felipe Lozano Rojas & Shyam Raman & Byungkyu Lee & Ana Bento & Kosali I. Simon & Coady Wing, 2020. "Tracking Public and Private Responses to the COVID-19 Epidemic: Evidence from State and Local Government Actions," NBER Working Papers 27027, National Bureau of Economic Research, Inc.
    3. Diane Alexander & Ezra Karger, 2023. "Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior," The Review of Economics and Statistics, MIT Press, vol. 105(4), pages 1017-1027, July.
    4. Goolsbee, Austan & Syverson, Chad, 2021. "Fear, lockdown, and diversion: Comparing drivers of pandemic economic decline 2020," Journal of Public Economics, Elsevier, vol. 193(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Baker, Scott R. & Davis, Steven J. & Levy, Jeffrey A., 2022. "State-level economic policy uncertainty," Journal of Monetary Economics, Elsevier, vol. 132(C), pages 81-99.
    2. John Gathergood & Fabian Gunzinger & Benedict Guttman-Kenney & Edika Quispe-Torreblanca & Neil Stewart, 2020. "Levelling Down and the COVID-19 Lockdowns: Uneven Regional Recovery in UK Consumer Spending," Papers 2012.09336, arXiv.org, revised Dec 2020.
    3. Richard T. Carson & Samuel L. Carson & Thayne K. Dye & Samuel A. Mayfield & Daniel C. Moyer & Chu A. Yu, 2021. "COVID-19’s U.S. Temperature Response Profile," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(4), pages 675-704, December.
    4. Mathijs de Vaan & Saqib Mumtaz & Abhishek Nagaraj & Sameer B. Srivastava, 2021. "Social Learning in the COVID-19 Pandemic: Community Establishments’ Closure Decisions Follow Those of Nearby Chain Establishments," Management Science, INFORMS, vol. 67(7), pages 4446-4454, July.
    5. Goolsbee, Austan & Syverson, Chad, 2021. "Fear, lockdown, and diversion: Comparing drivers of pandemic economic decline 2020," Journal of Public Economics, Elsevier, vol. 193(C).
    6. Wei Kang & Qingfang Wang, 2023. "The Impact of COVID-19 on Small Businesses in the US: A Longitudinal Study from a Regional Perspective," International Regional Science Review, , vol. 46(3), pages 235-265, April.
    7. Francesco Furno, 2020. "The Testing Multiplier: Fear vs Containment," Papers 2012.03834, arXiv.org.
    8. John Gathergood & Benedict Guttman-Kenney, 2020. "The English Patient: Evaluating Local Lockdowns Using Real-Time COVID-19 & Consumption Data," Papers 2010.04129, arXiv.org, revised Jan 2021.
    9. Abu Bakkar Siddique & Kingsley E. Haynes & Rajendra Kulkarni & Meng-Hao Li, 2023. "Regional poverty and infection disease: early exploratory evidence from the COVID-19 pandemic," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(1), pages 209-236, February.
    10. Eric Reinhart & Daniel L. Chen, 2021. "Association of Jail Decarceration and Anticontagion Policies With COVID-19 Case Growth Rates in US Counties," Post-Print hal-03344620, HAL.
    11. Cicala, Steve, 2023. "JUE Insight: Powering work from home," Journal of Urban Economics, Elsevier, vol. 133(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sumedha Gupta & Kosali I. Simon & Coady Wing, 2020. "Mandated and Voluntary Social Distancing During The COVID-19 Epidemic: A Review," NBER Working Papers 28139, National Bureau of Economic Research, Inc.
    2. Noel Rapa, 2021. "Mitigation measures, prevalence response and public mobility during the COVID-19 emergency," CBM Working Papers WP/03/2021, Central Bank of Malta.
    3. Diane Alexander & Ezra Karger, 2023. "Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior," The Review of Economics and Statistics, MIT Press, vol. 105(4), pages 1017-1027, July.
    4. Tsutomu Watanabe & Tomoyoshi Yabu, 2020. "Japan’s Voluntary Lockdown," CARF F-Series CARF-F-492, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    5. Tsutomu Watanabe & Tomoyoshi Yabu, 2020. "Japan’s Voluntary Lockdown," Working Papers on Central Bank Communication 027, University of Tokyo, Graduate School of Economics.
    6. Hunt Allcott & Levi Boxell & Jacob C. Conway & Billy A. Ferguson & Matthew Gentzkow & Benjamin Goldman, 2020. "What Explains Temporal and Geographic Variation in the Early US Coronavirus Pandemic?," NBER Working Papers 27965, National Bureau of Economic Research, Inc.
    7. Edward L. Glaeser & Ginger Z. Jin & Benjamin T. Leyden & Michael Luca, 2021. "Learning from deregulation: The asymmetric impact of lockdown and reopening on risky behavior during COVID‐19," Journal of Regional Science, Wiley Blackwell, vol. 61(4), pages 696-709, September.
    8. Christopher J. Cronin & William N. Evans, 2020. "Private Precaution and Public Restrictions: What Drives Social Distancing and Industry Foot Traffic in the COVID-19 Era?," NBER Working Papers 27531, National Bureau of Economic Research, Inc.
    9. Tsutomu Watanabe & Tomoyoshi Yabu, 2021. "Japan’s voluntary lockdown: further evidence based on age-specific mobile location data," The Japanese Economic Review, Springer, vol. 72(3), pages 333-370, July.
    10. Cronin, Christopher J. & Evans, William N., 2021. "Total shutdowns, targeted restrictions, or individual responsibility: How to promote social distancing in the COVID-19 Era?," Journal of Health Economics, Elsevier, vol. 79(C).
    11. Catalina Amuedo-Dorantes & Neeraj Kaushal & Ashley N. Muchow, 2021. "Timing of social distancing policies and COVID-19 mortality: county-level evidence from the U.S," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1445-1472, October.
    12. Andrew G. Atkeson & Karen A. Kopecky & Tao Zha, 2024. "Four Stylized Facts About Covid‐19," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 65(1), pages 3-42, February.
    13. Kong, Edward & Prinz, Daniel, 2020. "Disentangling policy effects using proxy data: Which shutdown policies affected unemployment during the COVID-19 pandemic?," Journal of Public Economics, Elsevier, vol. 189(C).
    14. Bixuan Yang & Frank Asche & Tao Li, 2022. "Consumer behavior and food prices during the COVID‐19 pandemic: Evidence from Chinese cities," Economic Inquiry, Western Economic Association International, vol. 60(3), pages 1437-1460, July.
    15. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez & Minchul Shin, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," Working Papers 21-18, Federal Reserve Bank of Philadelphia.
    16. Byungjin Park & Joonmo Cho, 2023. "COVID-19 and Age Disparity in Credit Card Expenditures in Korea: Implications on the Government Relief Fund," SAGE Open, , vol. 13(4), pages 21582440231, December.
    17. Horvath, Akos & Kay, Benjamin & Wix, Carlo, 2023. "The COVID-19 shock and consumer credit: Evidence from credit card data," Journal of Banking & Finance, Elsevier, vol. 152(C).
    18. Joakim A. Weill & Matthieu Stigler & Olivier Deschenes & Michael R. Springborn, 2021. "Researchers' Degrees-of-Flexibility and the Credibility of Difference-in-Differences Estimates: Evidence From the Pandemic Policy Evaluations," NBER Working Papers 29550, National Bureau of Economic Research, Inc.
    19. Engy Ziedan & Kosali I. Simon & Coady Wing, 2020. "Effects of State COVID-19 Closure Policy on NON-COVID-19 Health Care Utilization," NBER Working Papers 27621, National Bureau of Economic Research, Inc.
    20. Auerbach, Alan J. & Gorodnichenko, Yuriy & Murphy, Daniel, 2021. "Inequality, fiscal policy and COVID19 restrictions in a demand-determined economy," European Economic Review, Elsevier, vol. 137(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bfi:wpaper:2020-116. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Toni Shears (email available below). General contact details of provider: https://edirc.repec.org/data/mfichus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.