  This brief note documents the data generating processes used in the 2017 Data
Analysis Challenge associated with the Atlantic Causal Inference Conference
(ACIC). The focus of the challenge was estimation and inference for conditional
average treatment effects (CATEs) in the presence of targeted selection, which
leads to strong confounding. The associated data files and further plots can be
found on the first author's web page.
