IDEAS home Printed from https://ideas.repec.org/a/fip/fedfel/90829.html
   My bibliography  Save this article

Where Is the U.S. COVID-19 Pandemic Headed?

Author

Listed:
  • Daniel J. Wilson

Abstract

Consumer spending and business operations across the United States have been highly dependent on local conditions related to the COVID-19 pandemic. Current economic forecasts therefore must incorporate projections for where the pandemic is headed. A new econometric model provides county-level and national forecasts of COVID-19 infections. Estimates from the model indicate that population immunity acquired from prior infections is the primary driver of recent declines in new cases. This factor should continue to exert strong downward pressure on new cases in the weeks ahead.

Suggested Citation

  • Daniel J. Wilson, 2021. "Where Is the U.S. COVID-19 Pandemic Headed?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, vol. 2021(11), pages 01-06, April.
    • Handle: RePEc:fip:fedfel:90829
    as

    Download full text from publisher

    File URL: https://www.frbsf.org/economic-research/files/el2021-11.pdf
    File Function: Full text – article PDF
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daniel J. Wilson, 2019. "Clearing the Fog: The Predictive Power of Weather for Employment Reports and Their Asset Price Responses," American Economic Review: Insights, American Economic Association, vol. 1(3), pages 373-388, December.
    Full references (including those not matched with items on IDEAS)

    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. Makridis, Christos A. & Schloetzer, Jason D., 2023. "Extreme local temperatures lower expressed sentiment about U.S. economic conditions with implications for the stock returns of local firms," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    2. Mary C. Daly, 2021. "Climate Risk and the Fed: Preparing for an Uncertain Certainty," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, vol. 2021(17), pages 1-08, June.
    3. Bo Liu & Barry T. Hirsch, 2021. "Winter weather and work hours: Heterogeneous effects and regional adaptation," Contemporary Economic Policy, Western Economic Association International, vol. 39(4), pages 867-881, October.
    4. Shihan Xie & Victoria Wenxin Xie & Xu Zhang, 2024. "Extreme Weather and Low-Income Household Finance: Evidence from Payday Loans," Staff Working Papers 24-1, Bank of Canada.

    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:fip:fedfel:90829. 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: Federal Reserve Bank of San Francisco Research Library (email available below). General contact details of provider: https://edirc.repec.org/data/frbsfus.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.