{"id":"W2139138216","doi":"","title":"Relaxing monotonicity in the identification of local average treatment effects","year":2012,"lang":"en","type":"preprint","venue":"Alexandria (UniSG) (University of St.Gallen)","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Monotonic function; Identification (biology); Endogeneity; Instrumental variable; Econometrics; Independence (probability theory); Average treatment effect; Mathematical economics; Mathematics; Quarter (Canadian coin); Economics; Statistics; Estimator; Mathematical analysis; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009075289,0.0003762804,0.0008048447,0.0003107149,0.0001410432,0.00001698813,0.000926691,0.0004889988,0.0001243428],"category_scores_gemma":[0.00009985932,0.0003708857,0.000295594,0.0002399849,0.0003431132,0.000380111,0.0005430288,0.0005925372,0.00001184713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004686005,"about_ca_system_score_gemma":0.0001292866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009921753,"about_ca_topic_score_gemma":0.0009797841,"domain_scores_codex":[0.9978373,0.0003931164,0.0004880005,0.0004779437,0.0004592769,0.0003443518],"domain_scores_gemma":[0.9966184,0.0009139054,0.001039118,0.001185671,0.0001675973,0.00007531688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001198268,0.007592076,0.003889685,0.008798214,0.002294292,0.0004125963,0.1094429,0.003545689,0.02473648,0.7576407,0.002478284,0.07797085],"study_design_scores_gemma":[0.00700897,0.00155739,0.04333377,0.004126244,0.002328663,0.00005102541,0.02632534,0.01180888,0.03729704,0.8602815,0.003009784,0.00287136],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6381052,0.0004106805,0.3561497,0.0002742538,0.0001881645,0.001847513,0.0001281159,0.00014992,0.002746434],"genre_scores_gemma":[0.9848719,0.0009076196,0.01365512,0.000009195569,0.0000293921,0.0000121151,0.00008533098,0.0000306769,0.0003986283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3467667,"threshold_uncertainty_score":0.9998743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07965942016178558,"score_gpt":0.3226038725276926,"score_spread":0.2429444523659071,"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."}}