outcome with a corresponding discrete change in the probability of treatment at a known threshold of a running variable. This …

a threshold, an average treatment effect can be nonparametrically identified. We show that the derivative of this … treatment effect with respect to the threshold is also nonparametrically identified and easily estimated, in both sharp and … fuzzy designs. This marginal threshold treatment effect (MTTE) may be used to estimate the impact on treatment effects of …

with a corresponding discrete change in the probability of treatment at a known threshold of a running variable. This paper …

outcome with a corresponding discrete change in the probability of treatment at a known threshold of a running variable. This …

threshold, are commonly used to nonparametrically identify and estimate a local average treatment effect. We show that the … that would result from a marginal change in the threshold, which we call the marginal threshold treatment effect (MTTE). We … identifies how this treatment effect would change if the threshold for retention was raised or lowered, even though no such …