Causal Trees
A regression tree whose leaves estimate treatment effects. The criterion that makes the splits, the sample split called honesty, and what it does not fix.
A regression tree whose leaves estimate treatment effects. The criterion that makes the splits, the sample split called honesty, and what it does not fix.
Five bootstrap resamples produced trees whose root thresholds ran from -0.4341 to +0.1348 and which agreed with each other on 0.9125 to 0.9305 of rows.
Readable, scale-free, and unstable enough that one tree is rarely the answer.