Social Networks and the Spread of Strikes

dc.contributor.authorChau, Nancy H.
dc.contributor.authorChen, Huiyi
dc.contributor.authorFirsin, Oleg
dc.date.accessioned2026-01-22T16:18:50Z
dc.date.issued2025-10-20
dc.description.abstractThis paper examines the role of social networks in the diffusion of labor strikes in the United States. Using new data from the Cornell ILR Labor Action Tracker (2021–2024) and Facebook-based county connectedness measures, we document that strikes spread primarily through social networks rather than spatial, industrial, or political linkages. A 1% increase in network exposure is associated with a 2.3% contemporaneous and 0.8% lagged increase in strike activity. We show that both informational and behavioral channels drive diffusion. Policy and administrative environments, such as right-to-work laws and publicsector notice requirements, shape the timing and persistence of these network effects.
dc.description.urihttps://static1.squarespace.com/static/648df74b469a305552d825df/t/68f7e11366e761627589e547/1761075475077/Strike-Network-Oct2025.pdf
dc.format.extent50 pages
dc.genrejournal articles
dc.genrepreprints
dc.identifierdoi:10.13016/m2ogyu-uehk
dc.identifier.urihttp://hdl.handle.net/11603/41502
dc.language.isoen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Economics Department
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.titleSocial Networks and the Spread of Strikes
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0003-3696-7224

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