Identification and Estimation of a Partially Linear Regression Model\n using Network Data: Inference and an Application to Network Peer Effects

2021/05/20 by Eric Auerbach, Auerbach, Eric
Mathematics · Social Sciences · #Advanced Causal Inference Techniques #Econometrics (econ.EM) #FOS: Economics and business #School Choice and Performance #Social Capital and Networks

paper · pdf · doi:10.48550/arxiv.2105.10002

openalex publication_date 2021/05/20 · openalex created_date 2021/06/22 · openalex updated_date 2026/07/28

Abstract

This paper provides additional results relevant to the setting, model, and\nestimators of Auerbach (2019a). Section 1 contains results about the large\nsample properties of the estimators from Section 2 of Auerbach (2019a). Section\n2 considers some extensions to the model. Section 3 provides an application to\nestimating network peer effects. Section 4 shows the results from some\nsimulations.\n

Citations

• Identification of Endogenous Social Effects: The Reflection Problem
• Discrete Games in Endogenous Networks: Equilibria and Policy

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