Rubin-Style Methods
Entropy Balancing
Entropy balancing chooses weights so a comparison group matches treated-group moments of measured covariates.
Page 1 of 7 · Big Picture
The big picture: Entropy Balancing
Can weights exactly balance observed covariate moments before estimating an effect?
Why a policy analyst should care
Exact balance on selected observed moments makes the weighted comparison transparent, while the resulting causal claim still depends on overlap and no important unmeasured confounding.
Follow the idea from the opening question to a practical decision. These are the conceptual moves this module will develop:
1 Question Can weights align observed covariate distributions directly?
2 Explore Moment constraints shape the comparison
3 Formalize Choose the closest weights that satisfy balance
4 Transfer Audit an entropy-balanced estimate
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