{"id":"W4408783432","doi":"10.3386/w33607","title":"Correcting Endogeneity via Nonparametric Copula Control Functions","year":2025,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Control Systems and Identification","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Endogeneity; Nonparametric statistics; Copula (linguistics); Econometrics; Statistics; Mathematics; Economics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006302076,0.001548315,0.001435808,0.002083603,0.0005411336,0.001783066,0.002265769,0.001068575,0.00257295],"category_scores_gemma":[0.02826763,0.0007479107,0.001245902,0.00237154,0.001660536,0.002302789,0.002031036,0.002407398,0.000463908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001117281,"about_ca_system_score_gemma":0.002796413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009051315,"about_ca_topic_score_gemma":0.005985613,"domain_scores_codex":[0.9964412,0.001774178,0.0001444318,0.0006464809,0.0007880344,0.0002057301],"domain_scores_gemma":[0.986361,0.007886982,0.001916718,0.002292305,0.001404295,0.0001386595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003485134,0.0001338867,0.007559109,0.0001557631,0.0002568564,0.000212997,0.0002046527,0.6531059,0.001371112,0.1730666,0.003194553,0.1607037],"study_design_scores_gemma":[0.000008691991,0.00002271711,0.001210969,0.0000221402,0.00002470514,0.00003403039,0.00001904512,0.9675895,0.0009079532,0.0278389,0.002298371,0.00002295569],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003496933,0.00008815644,0.9955958,0.00008444403,0.00001475514,0.00002480182,0.00004429057,0.000143234,0.0005077234],"genre_scores_gemma":[0.5086311,0.0009588879,0.4834922,0.0003142346,0.0001488021,0.0004745477,0.0006592948,0.0003900035,0.004930919],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009051315,"threshold_uncertainty_score":0.03332895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2117205106864516,"score_gpt":0.4493014625980833,"score_spread":0.2375809519116316,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}