Author

Makoto Nakakita

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Preprint Jul 2026

Bayesian Robustness Values for Modern Causal Panel Estimators via Riesz Representations

We develop a sensitivity-analysis workflow for causal panel estimators, covering synthetic difference-in-differences, matrix completion, fixed-effect imputation, and group-time average treatment effects. The workflow combines Riesz-representation omitted-variable-bias bounds with partial-$R^2$ robustness values and sep...

Makoto Nakakita, Takahiro Hoshino · 0 citations