Sharp regression discontinuity is a design used in impact evaluation that focuses on the effect of an intervention by exploiting a clear cutoff point for assignment to treatment. This method assumes that individuals just above and just below the cutoff are similar in all respects except for the treatment, allowing for causal inference about the impact of the intervention. It provides a robust way to estimate causal effects when random assignment isn't feasible.
congrats on reading the definition of Sharp Regression Discontinuity. now let's actually learn it.