Games on Multiplex Networks.
We develop a simple multilayer network model in which agents allocate effort across layers with heterogeneous structures, subject to an aggregate effort constraint. Incentives are shaped by agents' network positions within each layer, and equilibrium behavior reflects both within- and cross-layer in...
| Publicado en: | American Economic Review Vol. 116; no. 4; pp. 1415 - 1459 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
American Economic Association
Apr2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=192662379&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 192662379 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00028282 AER jtl: American Economic Review issn: 00028282 maglogo: N pubinfo: dt: Apr2026 vid: 116 iid: 4 pid: 22 pub: American Economic Association artinfo: ui: 192662379 10.1257/aer.20240763 ppf: 1415 ppct: 44 formats: tig: atl: Games on Multiplex Networks. aug: au: Zenou, Yves Zhou, Junjie affil: Monash University Tsinghua University su: Resource allocation Policy sciences Computer networks Nash equilibrium sug: subj: Resource allocation Policy sciences Computer networks Computer Systems Design Services Nash equilibrium ab: We develop a simple multilayer network model in which agents allocate effort across layers with heterogeneous structures, subject to an aggregate effort constraint. Incentives are shaped by agents' network positions within each layer, and equilibrium behavior reflects both within- and cross-layer interactions. We analyze how shocks propagate through the network and characterize optimal targeting interventions. Our results show that effective policy design must account for effort allocation across layers. We also demonstrate that predictions from monolayer models can diverge sharply from those of multilayer models, underscoring the importance of accounting for network complexity in both empirical and policy analyses. (JEL C70, D78, D82, D85, H41, Z13) pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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