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A treatment effect is the causal effect of some "treatment" or policy intervention on an outcome variable. Such effects can be estimated with data from randomized or quasi experiments, and clinical trials or with observational data and methods for causal inference.

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Treatment Selection based on Treatment Effects

No, this is not a problem. The treatment assignment rule is still a function of the baseline covariates (although it depends on the data-generating distribution). Specifically, the treatment rule is $ …
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3 votes

Doubly robust learning with binary treatment and outcome

The DR Learner does not respect known bounds. It uses least-squares regression and therefore can lead to treatment effect predictions outside (-1,1). This is a limitation of the method.
Lars's user avatar
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