conformal inference 1dyadic data 1graphon estimation 1kernel smoothing 1treatment effects 1unobserved confounding 1
From the 1 of 2 linked papers with an AI index.
2 papers
econ.EM2026
Estimating Dyadic Treatment Effects with Unknown Confounders
Tadao Hoshino, Takahide Yanagi
The paper introduces methods to estimate treatment effects in dyadic data when unobserved confounders may affect treatment choice, using graphon‑based kernel smoothing and conforma…
econ.EM2025
Doubly Robust Uniform Confidence Bands for Group-Time Conditional Average Treatment Effects in Difference-in-Differences
Shunsuke Imai, Lei Qin, Takahide Yanagi
We consider a panel data analysis to examine the heterogeneity in treatment effects with respect to groups, periods, and a pre-treatment covariate of interest in the staggered diff…