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My friend far, far away: a random field approach to exponential random graph models

Boucher, V.; & Mourifié, I. (2017). My friend far, far away: a random field approach to exponential random graph models. Econometrics Journal, 20(3), S14-S46.

Boucher, V.; & Mourifié, I. (2017). My friend far, far away: a random field approach to exponential random graph models. Econometrics Journal, 20(3), S14-S46.

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We explore the asymptotic properties of strategic models of network formation in very large populations. Specifically, we focus on (undirected) exponential random graph models. We want to recover a set of parameters from the individuals' utility functions using the observation of a single, but large, social network. We show that, under some conditions, a simple logit-based estimator is coherent, consistent and asymptotically normally distributed under a weak version of homophily. The approach is compelling as the computing time is minimal and the estimator can be easily implemented using pre-programmed estimators available in most statistical packages. We provide an application of our method using the Add Health database. © 2017 Royal Economic Society.


Homophily
Network formation
Random fields
Spatial econometrics


JOUR



Boucher, V.
Mourifié, I.



2017


Econometrics Journal

20

3

S14-S46







10.1111/ectj.12096



7221