Northwestern University

Oct
22
Tue 3:30 PM

Seminar in Econometrics

When: Tuesday, October 22, 2019
3:30 PM - 5:00 PM  

Where: Kellogg Global Hub, 1410, 2211 Campus Drive, Evanston, IL 60208 map it

Audience: Faculty/Staff - Post Docs/Docs - Graduate Students

Contact: Cindy Pingry   847.467.7263

Group: Department of Economics: Seminar in Econometrics

Category: Academic

More Info

Description:

Michael Leung (University of Southern California): "Normal Approximation in Large Network Models."

 Abstract: We prove central limit theorems for models of network formation and network processes with homophilous agents. The results hold under large-network asymptotics, enabling inference in the typical setting where the sample consists of a small set of large networks. We first establish a general central limit theorem under high-level `stabilization' conditions that provide a useful formulation of weak dependence, particularly in models with strategic interactions. The result delivers a root-n rate of convergence and a closed-form expression for the asymptotic variance. Then using techniques in branching process theory, we derive primitive conditions for stabilization in the following applications: static and dynamic models of strategic network formation, network regressions, and treatment effects with network spillovers. Finally, we suggest some practical methods for inference.

 

Add Event to Calendar

Add Event To My Group:

Please sign-in