Chernozhukov, Sant'Anna co-author new working paper on omitted variable bias in DiD designs
analisereal · x · 2026-09-17
Econometrician analisereal announced a new working paper, "Omitted Variable Bias in Difference-in-Differences Designs," examining how omitted variables distort DiD causal estimates.
The paper is co-authored with Juejue Wang, Pedro Sant'Anna (of Callaway–Sant'Anna estimator fame) and Victor Chernozhukov, a leading figure in causal inference and machine learning. The full paper link is available in the post.
Related event: Chernozhukov Team Releases Paper on Omitted Variable Bias in DID(2 posts)→
More from Research
- JHU's Track, Articulate, Act reconstructs articulated objects and dexterous interactions from casual monocular videos — mangahomanga · 2026-09-17
- Nature's Paper2Agent converts research papers into interactive AI agents via MCP servers — krishnan · 2026-09-17
- Frozen Parnet embeddings match task-specific tools and larger genomic language models without fine-tuning — anshulkundaje · 2026-09-17
- 25 Fields Medalists Sign Declaration Warning Against Measuring AI Progress by Solved Problems — krishnan · 2026-09-17
- PARNET: A CLIP-seq-based foundation model for RNA sequence representation — anshulkundaje · 2026-09-17
- Gemini, Claude and Grok all invent the same "Dr. Elena" — evidence of shared training data — dejanseo · 2026-09-17