Social Networks and the Spread of Strikes
Revise & Resubmit, Journal of Population Economics
This paper examines how labor strikes spread through social networks in the United States. Using the Cornell ILR Labor Action Tracker for 2021–2024 and Facebook-based county connectedness measures, we find that exposure to strikes in socially connected counties is strongly associated with local strike incidence. A one-standard-deviation increase in contemporaneous network exposure is associated with about 16% higher expected strike incidence, while lagged exposure is positive but imprecisely estimated. The relationship is strongest within industries and extends to strike scale, measured by the number of participants. We then test whether strike diffusion operates through information discovery or behavioral responses and find stronger evidence for the behavioral channel.
Conference Presentations: Global GLO-JOPE Conference 2025, SOLE 2026