This paper proposes a novel method to identify and estimate the parameters of interest in the popular so-called linear-in-means regression model in situations where initial randomization of peers induces the observed network of interest. We argue …
This paper introduces a novel approach to identifying and estimating parameters in a model where legislators choose their expressed political ideology based on roll-call votes. We consider various professional connections, including cosponsorship, …
Scholars interested in legislative studies typically use observable outcomes such as roll-call votes (RCVs), speeches, and campaign contributions to quantify latent aspects of legislative behavior, such as ideal points, party unity levels, and …
This paper provides a novel approach to identification and estimation of a network formation model using observed network data, where the model acknowledges possible externalities in agents' utilities of forming connections with one another. The …
The command netivreg implements the Generalized Three-Stage Least Squares (G3SLS) estimator developed in Estrada et al. (2020), On the Identification and Estimation of Endogenous Peer Effects in Multiplex Networks) and the Generalized Method of …
This paper proposes a new method to identify and estimate the parameters of an extension of a linear model of peer effects where individuals form different types of social and professional connections that can affect their outcomes. A stylized model …