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dc.contributor.authorJochmans, Koen
dc.date.accessioned2018-12-14T00:30:22Z
dc.date.available2018-12-14T00:30:22Z
dc.date.issued2018
dc.identifier.issn0735-0015
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/286879
dc.description.abstract© 2018, American Statistical Association. We consider a statistical model for directed network formation that features both node-specific parameters that capture degree heterogeneity and common parameters that reflect homophily among nodes. The goal is to perform statistical inference on the homophily parameters while treating the node-specific parameters as fixed effects. Jointly estimating all parameters leads to incidental-parameter bias and incorrect inference. As an alternative, we develop an approach based on a sufficient statistic that separates inference on the homophily parameters from estimation of the fixed effects. The estimator is easy to compute and can be applied to both dense and sparse networks, and is shown to have desirable asymptotic properties under sequences of growing networks. We illustrate the improvements of this estimator over maximum likelihood and bias-corrected estimation in a series of numerical experiments. The technique is applied to explain the import and export patterns in a dense network of countries and to estimate a more sparse advice network among attorneys in a corporate law firm.
dc.publisherInforma UK Limited
dc.titleSemiparametric Analysis of Network Formation
dc.typeArticle
prism.issueIdentifier4
prism.publicationDate2018
prism.publicationNameJournal of Business and Economic Statistics
prism.volume36
dc.identifier.doi10.17863/CAM.34188
dcterms.dateAccepted2017-01-06
rioxxterms.versionofrecord10.1080/07350015.2017.1286242
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-10-02
dc.contributor.orcidJochmans, Koen [0000-0002-3090-3003]
dc.identifier.eissn1537-2707
rioxxterms.typeJournal Article/Review
pubs.funder-project-idEuropean Research Council (715787)
cam.issuedOnline2017-06-12


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