EconPapers    
Economics at your fingertips  
 

Gig labor: Trading safety nets for steering wheels

Vyacheslav Fos, Naser Hamdi, Ankit Kalda and Jordan Nickerson

Journal of Financial Economics, 2025, vol. 163, issue C

Abstract: Using administrative data on credit profiles matched with unemployment insurance (UI) for individuals in the U.S., we show that laid-off workers with access to Uber rely less on household debt, experience fewer delinquencies, and are less likely to apply for UI benefits. Our empirical strategy exploits both the staggered market entry of Uber across cities and the differential benefit of its entry across car owners based on car age, a key eligibility requirement of the platform. We conclude that the introduction of Uber reduced reliance on these alternative means of smoothing extreme income shocks.

Keywords: Gig-economy; Labor markets; Household debt; Credit delinquencies; Unemployment insurance (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304405X2400179X
Full text for ScienceDirect subscribers only

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:eee:jfinec:v:163:y:2025:i:c:s0304405x2400179x

DOI: 10.1016/j.jfineco.2024.103956

Access Statistics for this article

Journal of Financial Economics is currently edited by G. William Schwert

More articles in Journal of Financial Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:jfinec:v:163:y:2025:i:c:s0304405x2400179x