Estimating Peer Effects in Longitudinal Dyadic Data Using Instrumental Variables

The identification of causal peer effects (also known as social contagion or induction) from observational data in social networks is challenged by two distinct sources of bias: latent homophily and unobserved confounding. In this paper, we investigate how causal peer effects of traits and behaviors...

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Detalles Bibliográficos
Autores principales: O'Malley, A James, Elwert, Felix, Rosenquist, J Niels, Zaslavsky, Alan M, Christakis, Nicholas A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2014
Materias:
Biometric Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4213357/
https://www.ncbi.nlm.nih.gov/pubmed/24779654
http://dx.doi.org/10.1111/biom.12172

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4213357/
https://www.ncbi.nlm.nih.gov/pubmed/24779654
http://dx.doi.org/10.1111/biom.12172

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