{
  "task_id": "F6-conf-04",
  "naive_estimate": -0.13169790632300882,
  "naive_ci_low": -0.1603518326928757,
  "naive_ci_high": -0.10304397995314195,
  "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,
  "conclusion": "positive_effect",
  "feasibility": "complete",
  "feasibility_reason": null,
  "data_issues": [
    {
      "issue": "12 rows have negative training_hours (min -7.585), which is physically impossible (hours per employee cannot be < 0); likely an untruncated simulation draw or recording error.",
      "handling": "Excluded from the main analysis; sensitivity analysis re-estimates with them included (results reported in table1.csv and report)."
    }
  ],
  "n_input_rows": {
    "firms.csv": 1200
  },
  "n_analysed": 1188,
  "random_seed": null,
  "diagnostics": {
    "se_type": "HC1 heteroskedasticity-robust",
    "corr_training_skill": 0.6775720280598019,
    "sensitivity_all_rows_effect": 0.25222449623309495,
    "sensitivity_all_rows_se": 0.00947885217664965,
    "quad_training_sq_coef": 0.0002835295601785778,
    "quad_training_sq_p": 0.6596601958920358,
    "quad_skill_sq_p": 0.475062983936557,
    "interaction_coef": -0.00032835690944043455,
    "interaction_p": 0.9564572077696775,
    "conventional_se_effect": 0.0098410870694658,
    "r2_naive": 0.06821334219243413,
    "r2_adjusted": 0.7558650404794334
  }
}