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Methods to identify linear network models: a review.

ABSTRACT: In many contexts we may be interested in understanding whether direct connections between agents, such as declared friendships in a classroom or family links in a rural village, affect their outcomes. In this paper, we review the literature studying econometric methods for the analysis of linear models of social effects, a class that includes the 'linear-in-means' local average model, the local aggregate model, and models where network statistics affect outcomes. We provide an overview of the underlying theoretical models, before discussing conditions for identification using observational and experimental/quasi-experimental data.

SUBMITTER: Advani A

PROVIDER: S-EPMC6214266 | biostudies-other | 2018

REPOSITORIES: biostudies-other

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Methods to identify linear network models: a review.

Advani Arun A Malde Bansi B

Swiss journal of economics and statistics 20180205 1

In many contexts we may be interested in understanding whether direct connections between agents, such as declared friendships in a classroom or family links in a rural village, affect their outcomes. In this paper, we review the literature studying econometric methods for the analysis of linear models of <i>social effects</i>, a class that includes the 'linear-in-means' local average model, the local aggregate model, and models where network statistics affect outcomes. We provide an overview of ...[more]

PMID: 30443505

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