{"id":"W4300861756","doi":"10.47004/wp.cem.2022.1622","title":"IV Methods for Tobit Models","year":2022,"lang":"en","type":"report","venue":"","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Economic and Social Research Council; University of Cambridge","keywords":"Tobit model; Computer science; Econometrics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01006738,0.002090586,0.002428512,0.004179532,0.001032669,0.003817595,0.00359654,0.001925808,0.03665133],"category_scores_gemma":[0.0632824,0.001427465,0.00259476,0.007343132,0.001032086,0.002440383,0.003278693,0.006169644,0.01029996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636315,"about_ca_system_score_gemma":0.003193388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006553058,"about_ca_topic_score_gemma":0.005873215,"domain_scores_codex":[0.9872131,0.01030705,0.0004173201,0.0006906671,0.0009691073,0.0004027619],"domain_scores_gemma":[0.9824139,0.01335248,0.0009104346,0.001991204,0.001084394,0.000247651],"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":[0.00009298417,0.0001168912,0.002267202,0.000652453,0.0008031121,0.0001165161,0.0003668625,0.13962,0.0001804774,0.6752871,0.02503945,0.1554569],"study_design_scores_gemma":[0.00006447274,0.00004901013,0.0005157989,0.0002845555,0.0001076494,0.00005386796,0.0001989111,0.2493784,0.000181712,0.7080663,0.04105446,0.00004480225],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007806626,0.0008250404,0.9932513,0.0004915989,0.0001600754,0.0001531194,0.0008679606,0.0005161233,0.002954214],"genre_scores_gemma":[0.1117682,0.005517396,0.8474419,0.0008081793,0.0007572004,0.003947965,0.006267808,0.002104527,0.02138693],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03665133,"threshold_uncertainty_score":0.122611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6572314321574739,"score_gpt":0.6175396490021837,"score_spread":0.03969178315529021,"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."}}