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), physically impossible",8 "handling": "kept in main analysis (smooth continuous tail of simulated hours-skill relation; dropping would truncate on the treatment); sensitivity analysis excluding them reported in table1.csv"9 }10 ],11 "n_input_rows": {12 "firms.csv": 120013 },14 "n_analysed": 1200,15 "random_seed": null,16 "naive_estimate": -0.13518960504279864,17 "naive_ci_low": -0.16242716225177342,18 "naive_ci_high": -0.10795204783382387,19 "baseline_metric": 3.860935650765891,20 "model_metric": 1.9773229272347406,21 "effect_estimate": 0.25222449623309495,22 "effect_se": 0.00947885217664965,23 "effect_se_type": "HC1 heteroskedasticity-robust",24 "effect_ci_low": 0.23364628735208254,25 "effect_ci_high": 0.27080270511410737,26 "skill_index_coefficient": -4.630436409471269,27 "skill_index_se": 0.0780892771606384,28 "corr_skill_hours": 0.6935300645961768,29 "sens_excl_negative_hours_estimate": 0.25353820594501253,30 "sens_excl_negative_hours_n": 1188,31 "sens_skill_quadratic_estimate": 0.25225435228148574,32 "sens_skill_quadratic_sq_coef_pvalue": 0.8131468023741133,33 "conclusion": "positive_effect"34}