Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks-Reference-Cited by-同舟云学术

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Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks

Published:2020-06-30 Issue:534 Volume:116 Page:901-918
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Forastiere Laura¹^ORCID,Airoldi Edoardo M.²,Mealli Fabrizia³

Affiliation:

1. Department of Biostatistics, Yale University, New Haven, CT

2. Department of Statistical Science, Fox School of Business, Temple University, Philadelphia, PA

3. Department of Statistics, Informatics, Applications “G. Parenti”, University of Florence, Florence, Italy

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2020.1768100

Reference42 articles.

1. A General Method for Detecting Interference Between Units in Randomized Experiments

2. Aronow, P. M., and Samii, C. (2017), “Estimating Average Causal Effects Under General Interference,” arXiv no. 1305.6156.

3. Athey, S., Eckles, D., and Imbens, G. W. (2015), “Exact p-Values for Network Interference,” NBER Working Paper 21313.

4. Impact of spatial distribution of permethrin-impregnated bed nets on child mortality in rural northern Ghana.

5. Reasoning about Interference Between Units: A General Framework

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