ECONOMETRICS: Dr Liyang Sun (University College London)

Estimating Treatment Effects Under Bounded Heterogeneity

Specifications that impose constant treatment effects are common but biased, while fully flexible alternatives can be imprecise or infeasible. Under a bound on treatment effect heterogeneity, we propose a generalized ridge estimator, regulate, that yields heterogeneity-aware confidence intervals (CIs). The ridge penalty is chosen to optimally trade off worst-case bias and variance in a Gaussian homoscedastic setting; the resulting CIs remain tight more generally and are valid even under lack of overlap. Varying the bound enables sensitivity analysis to departures from constant effects, which we illustrate in leading empirical applications of un-confoundedness and staggered adoption designs.
Date
Monday, 13 April 2026

Time
4pm to 5pm

Venue
In-Person Seminar
AS2-03-12 Lim Tay Boh Seminar Room (LTBSR)
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