Spatial spillovers and the effects of fiscal stimulus: evidence from pandemic-era federal aid for state and local governments
Jeffrey Clemens,
John Kearns,
Beatrice Lee and
Stan Veuger
Spatial Economic Analysis, 2024, vol. 19, issue 3, 411-435
Abstract:
We analyse whether US federal aid to state and local governments impacted economic activity through either direct or cross-state spillover effects during the COVID-19 pandemic. Deploying an instrumental-variables framework rooted in the funding advantage of states that are over-represented in Congress, we find that federal assistance had significantly less impact on state and local government employment, as well as broader measures of economic activity, than estimates from prior crisis responses would imply. The modest employment impacts we find stem largely from the direct effect of states’ own aid allocation, as opposed to spillovers across state lines. These findings point to an important role for variations in fiscal policy transmission mechanisms, namely that cross-state spillovers are less likely to be important when some of the key mechanisms for such spillovers, like robust interjurisdictional supply chains and patterns of consumption, are muted or shut down.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/17421772.2023.2264344 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:specan:v:19:y:2024:i:3:p:411-435
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RSEA20
DOI: 10.1080/17421772.2023.2264344
Access Statistics for this article
Spatial Economic Analysis is currently edited by Bernie Fingleton and Danilo Igliori
More articles in Spatial Economic Analysis from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().