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 "naive_se": 0.014619618827634278,7 "baseline_metric": 3.8601022336733584,8 "model_metric": 1.9758571828823268,9 "effect_estimate": 0.25353820594501253,10 "effect_se": 0.009812212326345536,11 "effect_se_type": "HC1 heteroskedasticity-robust",12 "effect_ci_low": 0.2343066231767153,13 "effect_ci_high": 0.27276978871330976,14 "skill_index_coefficient": -4.624620879345756,15 "skill_index_se": 0.07816357249116873,16 "conclusion": "positive_effect",17 "feasibility": "complete",18 "feasibility_reason": null,19 "data_issues": [20 {21 "issue": "12 rows have negative training_hours (impossible values)",22 "handling": "excluded from main analysis; sensitivity estimate on all 1200 rows reported (sensitivity_all_rows_effect)"23 },24 {25 "issue": "strong confounding: skill_index correlates 0.69 with training_hours and -0.79 with productivity_growth",26 "handling": "adjusted for pre-programme skill_index by OLS"27 }28 ],29 "n_input_rows": {30 "firms.csv": 120031 },32 "n_analysed": 1188,33 "random_seed": null,34 "sensitivity_all_rows_effect": 0.25222449623309495,35 "sensitivity_all_rows_se": 0.00947885217664965,36 "sensitivity_quadratic_skill_effect": 0.25383792381516485,37 "sensitivity_quadratic_skill_se": 0.009844473118691516,38 "corr_skill_training": 0.677572028059800739}