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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BlackWell Publishing Ltd
2014
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| Materias: | |
| 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 |