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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subdta.tab
Dec 5, 2017 - Replication Data for: Causal Inference for Interfering Units With Cluster and Population Level Treatment Allocation Programs
Tabular Data - 125.6 KB - 22 Variables, 473 Observations - UNF:6:KNnfm8wpSiM/li+qZJ/WbA==
In a data.table format including variables such as the treatment (SnCR), 4th maximum ambient ozone concentrations within 100km as measured on monitoring locations (mean4maxOzone) and other covariates. For replication, download in .dat format.
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