{"id":"W2602795329","doi":"","title":"It's never too LATE: A new look at local average treatment effects with or without defers","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Policies and Impacts","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monotonic function; Endogeneity; Econometrics; Estimator; Identification (biology); Instrumental variable; Economics; Quarter (Canadian coin); Average treatment effect; Treatment effect; Simple (philosophy); Mathematics; Statistics; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0430418,0.0006506023,0.00282634,0.002122867,0.001756386,0.004052715,0.002836206,0.002385624,0.01521694],"category_scores_gemma":[0.1230661,0.0006286303,0.002827984,0.002761624,0.006183559,0.006138881,0.002937395,0.006292126,0.0007946187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002411233,"about_ca_system_score_gemma":0.00295394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007218175,"about_ca_topic_score_gemma":0.006238524,"domain_scores_codex":[0.9832693,0.01193566,0.000399844,0.002459786,0.001004591,0.0009306999],"domain_scores_gemma":[0.8506259,0.120984,0.01164056,0.01183725,0.002603181,0.002309001],"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":[0.002458122,0.0007559456,0.1004619,0.001102146,0.001553306,0.0006109472,0.004841806,0.01927947,0.0008535227,0.5746803,0.0120911,0.2813115],"study_design_scores_gemma":[0.0005791649,0.002079003,0.05172053,0.0009272145,0.002389602,0.0005694904,0.00283769,0.07453061,0.001606255,0.819403,0.0431534,0.0002040162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3270282,0.01672762,0.5754246,0.0422991,0.001103269,0.0005222495,0.002482299,0.0007044176,0.03370837],"genre_scores_gemma":[0.9420049,0.002730915,0.03698238,0.005033172,0.001604054,0.0003822896,0.0005482364,0.00024639,0.01046777],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0430418,"threshold_uncertainty_score":0.2276295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04848446833595828,"score_gpt":0.2974416297388006,"score_spread":0.2489571614028423,"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."}}