Semiparametric Estimation in Network Formation Models with Homophily and Degree Heterogeneity

Semiparametric Estimation in Network Formation Models with Homophily and Degree Heterogeneity
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Total Pages : 81
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ISBN-10 : OCLC:1305159187
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Book Synopsis Semiparametric Estimation in Network Formation Models with Homophily and Degree Heterogeneity by : Peter Toth

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.


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