Econometrician: every agent-driven econometrics task still needs manual standard-error fixes
danielrock · x · 2026-09-09
Quant researcher danielrock notes that every agent-driven econometrics task he works on ends up requiring him to audit and fix the standard errors himself.
He muses on the root cause: are PhD programs to blame for instilling these errors (which models then learn), or is the training simply what enables practitioners to spot the problem in the first place — implying users without econometrics grounding might never notice flawed statistical inference in agent-produced analyses.
More from coding & agent
- Preregistered study finds both writing skill and CS background predict vibe-coding performance — dair_ai · 2026-09-09
- OpenAI's official GPT-6 Astra prompting guide: five changes to stop prompting it like GPT-5 — goyalshaliniuk · 2026-09-09
- Dev builds interactive 3D smoking-lungs visualizer with one AI model, compressed 84% — DeryaTR_ · 2026-09-09
- gemini-cli ships v0.61.0 nightly with sandbox and tool-output fixes — gemini-cli-robot · 2026-09-09
- Coordinating multiple coding agents with nothing but tmux and codex — viksit · 2026-09-09
- One chief-of-staff agent beats a 27-agent workforce, argues AI founder — evielync · 2026-09-09