Semiparametric Estimation in Network Formation Models with Homophily and Degree Heterogeneity
Author | : Peter Toth |
Publisher | : |
Total Pages | : 81 |
Release | : 2017 |
ISBN-10 | : OCLC:1305159187 |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
Download or read book Semiparametric Estimation in Network Formation Models with Homophily and Degree Heterogeneity written by Peter Toth and published by . This book was released on 2017 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper considers a semiparametric version of the network formation model of Graham (2017). The two-way fixed-effects binary choice model allows for homophily and degree heterogeneity, but unlike Graham (2017) leaves the distribution of pair-specific unobservables unspecified. Identification of the slope parameters and fixed effects follows from a novel approach that does not rely on distributional assumptions. The identification strategy suggests an estimator for the slope parameters based upon tetrads of nodes within the network. A computationally simple version of this estimator is shown to be consistent with a non-parametric convergence rate. A consistent estimator of the fixed effects is also provided. Partial identification, for the case of discrete covariate support, and an extension to nonlinear fixed effects are also considered.