1{2 "task_id": "F6-conf-04",3 "feasibility": "complete",4 "feasibility_reason": null,5 "data_issues": [6 {7 "issue": "12 rows have negative training_hours (min -7.585), which is impossible",8 "handling": "excluded from main analysis (exclusions.csv step 3); sensitivity estimate including them reported (sensitivity_all_rows_*)"9 },10 {11 "issue": "training_hours strongly correlated with pre-programme skill_index (r=0.68), and skill_index strongly negatively related to growth: confounding",12 "handling": "adjusted for skill_index (selection-on-observables model)"13 }14 ],15 "n_input_rows": {16 "firms.csv": 120017 },18 "n_analysed": 1188,19 "random_seed": null,20 "naive_estimate": -0.13169790632300882,21 "naive_se": 0.014619618827634278,22 "naive_ci_low": -0.1603518326928757,23 "naive_ci_high": -0.10304397995314195,24 "baseline_metric": 3.8601022336733584,25 "model_metric": 1.9758571828823268,26 "effect_estimate": 0.25353820594501253,27 "effect_se": 0.009812212326345536,28 "effect_se_type": "HC1 heteroskedasticity-robust",29 "effect_ci_low": 0.2343066231767153,30 "effect_ci_high": 0.27276978871330976,31 "effect_se_conventional": 0.0098410870694658,32 "skill_index_coefficient": -4.624620879345756,33 "skill_index_se": 0.07816357249116873,34 "conclusion": "positive_effect",35 "corr_skill_hours": 0.677572028059802,36 "sensitivity_all_rows_estimate": 0.25222449623309495,37 "sensitivity_all_rows_ci_low": 0.23364628735208254,38 "sensitivity_all_rows_ci_high": 0.27080270511410737,39 "sensitivity_all_rows_naive_estimate": -0.13518960504279864,40 "sensitivity_quad_skill_estimate": 0.25383792381516485,41 "sensitivity_quad_skill_ci_low": 0.23454311105575676,42 "sensitivity_quad_skill_ci_high": 0.27313273657457293,43 "diag_interaction_coef": -0.00032835690944043455,44 "diag_interaction_pvalue": 0.9564572077696775,45 "diag_hours_sq_coef": 0.00010325698359789468,46 "diag_hours_sq_pvalue": 0.8626346335499105,47 "r2_naive": 0.06821334219243413,48 "r2_adjusted": 0.755865040479433449}