{"id":"W4321213187","doi":"10.1016/j.jeconom.2023.01.010","title":"IV methods for Tobit models","year":2023,"lang":"en","type":"article","venue":"Journal of Econometrics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Economic and Social Research Council","keywords":"Tobit model; Censoring (clinical trials); Econometrics; Unobservable; Mathematics; Endogeneity; Inference; Panel data; Control function; Instrumental variable; Statistics; Economics; Computer science; Control (management)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004306242,0.0001793255,0.0008034221,0.002800356,0.0000990931,0.0001103084,0.0004556005,0.0001143438,0.0003616156],"category_scores_gemma":[0.0009432323,0.0001994828,0.0004464887,0.001105417,0.00003510338,0.0008965708,0.00005729231,0.0002010705,0.0004692978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001868923,"about_ca_system_score_gemma":0.00003335252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003024238,"about_ca_topic_score_gemma":0.000001394894,"domain_scores_codex":[0.9976469,0.00002248679,0.001569056,0.0002610069,0.00002378613,0.0004768207],"domain_scores_gemma":[0.9974055,0.0007077857,0.001315021,0.0002945184,0.00004816175,0.0002290358],"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":[0.0004255296,0.0004909198,0.02006005,0.0003004147,0.001503952,0.00002229943,0.001679063,0.2430519,0.00006007675,0.50398,0.1455675,0.08285824],"study_design_scores_gemma":[0.001524727,0.0006617778,0.003465352,0.00001100844,0.00002290291,0.00003913141,0.00008692213,0.281231,0.00006562655,0.4838955,0.2286277,0.0003684139],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3384962,0.009116039,0.6054511,0.00354648,0.005492689,0.0006386247,0.0006018618,0.00009357605,0.03656343],"genre_scores_gemma":[0.906581,0.002442552,0.08527739,0.0008462675,0.001080447,0.00002130648,0.00002001672,0.00008085765,0.00365012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5680848,"threshold_uncertainty_score":0.8134673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6209703426008106,"score_gpt":0.339952863629922,"score_spread":0.2810174789708886,"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."}}