1{2 "task_id": "F6-conf-04",3 "naive_estimate": -0.13169790632300882,4 "naive_ci_low": -0.1603518326928757,5 "naive_ci_high": -0.10304397995314195,6 "baseline_metric": 3.8601022336733584,7 "model_metric": 1.9758571828823268,8 "effect_estimate": 0.25353820594501253,9 "effect_se": 0.009812212326345536,10 "effect_ci_low": 0.2343066231767153,11 "effect_ci_high": 0.27276978871330976,12 "skill_index_coefficient": -4.624620879345756,13 "conclusion": "positive_effect",14 "feasibility": "complete",15 "feasibility_reason": null,16 "data_issues": [17 {18 "issue": "12 rows have negative training_hours (min -7.585), which is physically impossible (hours per employee >= 0).",19 "handling": "Excluded from the main estimates; sensitivity analysis re-estimates both models on all rows (results essentially unchanged)."20 }21 ],22 "n_input_rows": {23 "firms.csv": 120024 },25 "n_analysed": 1188,26 "random_seed": null,27 "se_type": "HC1 heteroskedasticity-robust",28 "corr_skill_training": 0.677572028059802,29 "sensitivity_all_rows_effect_estimate": 0.25222449623309495,30 "sensitivity_all_rows_naive_estimate": -0.13518960504279864,31 "diag_flexible_training_coef": 0.2572203800870444,32 "diag_flexible_min_pvalue_nonlinear_terms": 0.442627736236606133}