no code implementations • 25 Oct 2022 • Yoichi Arai, Taisuke Otsu, Mengshan Xu
Our GLS estimator is shown to be asymptotically equivalent to the infeasible GLS estimator with knowledge of the conditional error variance, and involves only some tuning to trim boundary observations, not only for point estimation but also for interval estimation or hypothesis testing.
no code implementations • 18 Jul 2022 • Mengshan Xu, Taisuke Otsu
We propose a one-to-many matching estimator of the average treatment effect based on propensity scores estimated by isotonic regression.
no code implementations • 8 May 2022 • Toru Kitagawa, Weining Wang, Mengshan Xu
This paper develops a novel method for policy choice in a dynamic setting where the available data is a multivariate time series.