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This graph might cause nightmares for team OLS for #causalinference

Continuous treatment randomly assigned; nonlinear effects

The “average effect” of X on Y is +1 but the OLS estimate is -1. Dang.

So should estimand be blp or ate or none of the above?

macartan.github.io/assets/htmls...