Identification and Estimation of Large Network Games with Private Link Information.
We study the identification and estimation of large network games in which individuals choose continuous actions while holding private information about their links and payoffs. Extending the framework of Galeotti et al., we build a tractable empirical model of such network games and show that the p...
| Publicado en: | International Economic Review Vol. 67; no. 2; pp. 411 - 433 |
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| Autores principales: | , |
| Formato: | Artículo |
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Wiley-Blackwell
May2026
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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=193280959&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 193280959 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00206598 IER jtl: International Economic Review issn: 00206598 maglogo: Y pubinfo: dt: May2026 vid: 67 iid: 2 pid: 480 pub: Wiley-Blackwell artinfo: ui: 193280959 10.1111/iere.70050 ppf: 411 ppct: 22 formats: tig: atl: Identification and Estimation of Large Network Games with Private Link Information. aug: au: Eraslan, Hülya Tang, Xun affil: Department of Economics, Rice University, Houston Texas,, USA National Bureau of Economic Research, Boston, USA Institute of Social and Economics Research, University of Osaka, Osaka, Japan su: Computer networks Privacy Inference (Logic) Estimation theory Generalized method of moments Nonparametric estimation sug: subj: Computer networks Privacy Inference (Logic) Computer Systems Design Services Estimation theory Generalized method of moments Nonparametric estimation keyword: large network games private links semiparametric methods large network games private links semiparametric methods ab: We study the identification and estimation of large network games in which individuals choose continuous actions while holding private information about their links and payoffs. Extending the framework of Galeotti et al., we build a tractable empirical model of such network games and show that the parameters in individual payoffs are identified under large‐market asymptotics in which the number of individuals increases to infinity on a single large network. We then propose a semiparametric two‐step M‐estimator for these individual payoffs and demonstrate its good finite‐sample performance in simulations. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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