IDEAS home Printed from https://ideas.repec.org/a/mve/journl/v49y2023i2p1-36.html
   My bibliography  Save this article

Geography of Unemployment in the Midwest During the COVID-19 Pandemic: A Spatial Analysis

Author

Listed:
  • Kathleen G Arano

    (Indiana University Southeast)

  • Arun K Srinivasan

    (Indiana University Southeast)

Abstract

Unemployment surged across the U.S. following the onset of the COVID-19 pandemic. We analyze the spatial pattern of county-level unemployment in the Midwest during the second quarter (Q2) of 2020 when it peaked, followed by the fourth quarter (Q4) of 2020 when local economies began to recover. We find clustering, with most counties in the Eastern section of the Midwest showing unemployment in the 75th quantile of the distribution (hardest-hit counties). In contrast, counties in the Western section mostly showed unemployment in the 25th quantile (least-hit counties). Our spatial lag regression analysis of the unemployment change between Q2 and pre-COVID (Q1) finds a higher increase in unemployment in counties with a high COVID-19 Community Vulnerability Index (CCVI). In addition, counties that relied on Leisure & Hospitality, and Manufacturing, and had a mask mandate, showed a larger increase in unemployment in Q2 and persisted through Q4 albeit to a lesser degree.

Suggested Citation

  • Kathleen G Arano & Arun K Srinivasan, 2023. "Geography of Unemployment in the Midwest During the COVID-19 Pandemic: A Spatial Analysis," Journal of Economic Insight, Missouri Valley Economic Association, vol. 49(2), pages 1-36.
  • Handle: RePEc:mve:journl:v:49:y:2023:i:2:p:1-36
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

    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:mve:journl:v:49:y:2023:i:2:p:1-36. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Cullen Goenner (email available below). General contact details of provider: https://edirc.repec.org/data/mveaaea.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.