New framework quantifies confounding strength in DiD sensitivity analysis

A new sensitivity analysis framework for difference-in-differences explains how pre-trend violations arise, computes robustness values for how strong unobserved confounding must be to overturn results, and benchmarks confounding against observed covariates or pre-trends—an approach demonstrated on Callaway & Sant'Anna (2021) data.

2026-09-17 ~ 2026-09-17 · 4 related posts

• Case study: highly imbalanced covariates barely move DiD estimates, and why — analisereal · 2026-09-17
• Robustness values for DiD: how strong must hidden confounders be to overturn results — analisereal · 2026-09-17
• Benchmarking hidden confounders against covariates and pre-trends to weigh explanations — analisereal · 2026-09-17
• New DiD sensitivity framework explains how pre-trend violations arise from confounders — analisereal · 2026-09-17