This dataverse contains the data for the paper "Causal Inference for Interfering Units With Cluster and Population Level Treatment Allocation Programs", by Papadogeorgou, Mealli, and Zigler. The current version of the paper is available at: https://arxiv.org/abs/1711.01280. The code to replicate the results using these data can be found at https://github.com/gpapadog/Interference-Analysis, using the R package found at https://github.com/gpapadog/Interference.
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Replication Data for: Causal Inference for Interfering Units With Cluster and Population Level Treatment Allocation Programs
Dec 5, 2017
Papadogeorgou, Georgia, 2017, "Replication Data for: Causal Inference for Interfering Units With Cluster and Population Level Treatment Allocation Programs", https://doi.org/10.7910/DVN/1YBDV6, Harvard Dataverse, V1, UNF:6:KNnfm8wpSiM/li+qZJ/WbA== [fileUNF]
This data set consists the analysis data set for the paper titled "Causal Inference for Interfering Units With Cluster and Population Level Treatment Allocation Programs". It includes key power plant covariates, area level characteristics and ambient ozone concentrations with 100 km of the power plant.
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