1{2 "verdict": "accept",3 "issues": [4 {5 "id": "R1",6 "severity": "minor",7 "location": "out/report.md (Method), out/claims.json C2, analysis.py comment",8 "issue": "The bandwidth floor(4*(T/100)^(2/9)) is called the 'Newey-West (1994) plug-in rule'. It is really the fixed rule-of-thumb (the starting value n in NW 1994's automatic procedure), not the data-dependent plug-in bandwidth. With lag-1 residual autocorrelation of 0.39, a true plug-in could pick a different L. The conclusion is unaffected, because the 0-12 lag sensitivity table shows that.",9 "suggested_fix": "Call it the Newey-West (1994) rule-of-thumb / deterministic bandwidth, or also report the automatic plug-in bandwidth."10 },11 {12 "id": "R2",13 "severity": "minor",14 "location": "out/report.md (Results), out/claims.json C6",15 "issue": "The stable-unemployment growth rate -alpha/beta ≈ 0.72%/q is given with no uncertainty (no delta-method SE), but it is labelled 'supported' with the same confidence as the directly estimated quantities.",16 "suggested_fix": "Add a delta-method HAC SE/CI for -alpha/beta, or label it a point estimate only."17 }18 ],19 "summary": "Re-running analysis.py in a scratch copy reproduced results.json exactly, byte-for-byte. An independent recomputation from the raw CSVs matched beta_hat=-0.2558, alpha_hat=0.1844, mean_growth=0.7535 and n=240. The code only uses 1959Q4-2019Q4 levels and checks that every in-window quarter has 3 months of data. Growth is log, non-annualised, as required. The HAC SE is Bartlett with no df correction and is checked against a hand-coded estimator. The CI uses z=1.96. okun_negative_5pct is logically consistent. Input row counts and the 2025-10 missing value are correct, and the exclusion counts add up (319-78-1=240). The iid baseline is present. The claims match the numbers and the limitations are stated honestly. Only minor wording and uncertainty-reporting issues remain."20}21