Semiparametric Analysis of Network Formation

Volume: 36, Issue: 4, Pages: 705 - 713
Published: Jun 12, 2017
Abstract
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...
Paper Details
Title
Semiparametric Analysis of Network Formation
Published Date
Jun 12, 2017
Volume
36
Issue
4
Pages
705 - 713
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