{
  "task_id": "F6-conf-04",
  "feasibility": "complete",
  "feasibility_reason": null,
  "data_issues": [
    {
      "issue": "12 rows have negative training_hours (min -7.585); impossible values",
      "handling": "excluded from main analysis (exclusion step 3); sensitivity analyses keep them as-is and censor them to 0 (out/sensitivity.csv)"
    }
  ],
  "n_input_rows": {
    "firms.csv": 1200
  },
  "n_analysed": 1188,
  "random_seed": null,
  "naive_estimate": -0.13169790632300882,
  "naive_ci_low": -0.1603518326928757,
  "naive_ci_high": -0.10304397995314195,
  "naive_se": 0.014619618827634278,
  "baseline_metric": 3.8601022336733584,
  "model_metric": 1.9758571828823268,
  "effect_estimate": 0.25353820594501253,
  "effect_se": 0.009812212326345536,
  "effect_ci_low": 0.2343066231767153,
  "effect_ci_high": 0.27276978871330976,
  "skill_index_coefficient": -4.624620879345756,
  "skill_index_se": 0.07816357249116873,
  "se_type": "HC1 heteroskedasticity-robust; 95% CI = estimate +/- 1.96*SE (normal)",
  "corr_hours_skill": 0.6775720280598008,
  "sens_effect_all_rows": 0.25222449623309495,
  "sens_effect_censored0": 0.25417774688996747,
  "sens_effect_skill_sq": 0.25383792381516485,
  "sens_effect_skill_cubic": 0.2537770909378334,
  "sens_effect_conventional_se": 0.0098410870694658,
  "conclusion": "positive_effect"
}