The command netivreg implements the generalized three-stage least-squares estimator developed in Estrada (2022, Causal inference in multilayered networks, PhD thesis) and the generalized method of moments estimator in Chan et al. (2024, Journal of Econometric Methods 13: 205-224) for the endogenous linear-in-means model. The two procedures use full observability of a two-layered multiplex network data structure using Stata’s new multiframes capabilities and Python integration (version 16 and above). Applications of the command include simulated data and three years’ worth of data on peer-reviewed articles published in top general-interest journals in economics.
Supplementary Material
Please find the following supplemental material available below.
For Open Access articles published under a Creative Commons License, all supplemental material carries the same license as the article it is associated with.
For non-Open Access articles published, all supplemental material carries a non-exclusive license, and permission requests for re-use of supplemental material or any part of supplemental material shall be sent directly to the copyright owner as specified in the copyright notice associated with the article.
0.00 MB
0.03 MB
0.02 MB
0.01 MB
0.07 MB
0.01 MB
0.01 MB
0.01 MB
0.00 MB
0.01 MB
0.01 MB
0.00 MB
0.00 MB
0.03 MB
0.02 MB
0.01 MB
0.07 MB
0.01 MB
0.01 MB
0.01 MB
0.00 MB
0.01 MB
0.01 MB
0.00 MB