New DiD sensitivity framework explains how pre-trend violations arise from confounders
analisereal · x · 2026-09-17
The author argues this framework complements prior work benchmarking parallel-trends violations via pre-trends (e.g., Rambachan & Roth), by explaining how such violations could arise. Under this view, pre-trend extrapolation becomes one of several ways to benchmark the strength of confounding in difference-in-differences designs.
Related event: New DiD Sensitivity Framework Gauges Confounding via Pre-Trends(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