{"slug":"brycewang-stanford-linearmodels","source_name":"brycewang-stanford/linearmodels","name":"Brycewang Stanford/Linearmodels","description":"Panel data, IV/GMM, system regression. PanelOLS (FE/RE), BetweenOLS, Fama-MacBeth, IV2SLS/LIML/GMM, SUR, 3SLS, Driscoll-Kraay SEs. Use for RE/between, system estimation, or GMM. Complements pyfixest (FE + DiD) and statsmodels (GLM + time series).","version":1,"lift":{"pass_rate_delta_pts":9.09,"pass_rate_pct":95.5,"total_cases":22,"passed_cases":21,"tokens_delta_pct":208.4,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-09T22:21:28.171740+00:00"},"skill_score":0.9545,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":9.09,"with_pass_pct":95.5,"without_pass_pct":86.4,"tokens_delta_pct":208.4,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"mixed","never_hurt":true,"completed_at":"2026-08-09T22:21:28.171740+00:00","run_id":"39746657-68a6-4d98-b419-9def1dc75e72","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"NOASSERTION","install_count":0,"manifest_hash":"8a836ff506a60992a54b38501eda1dad619cbc9e188025c1f82c4ee80c7bb92f","raw_url":"https://app.decimal.ai/s/brycewang-stanford-linearmodels/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/brycewang-stanford-linearmodels"}