{"id":"W2129095037","doi":"10.1111/j.1540-5982.2012.01733.x","title":"Comparing features of convenient estimators for binary choice models with endogenous regressors","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":226,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimator; Heteroscedasticity; Control function; Binary number; Econometrics; M-estimator; Statistics; Function (biology); Mathematics; Computer science; Control (management); Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.07355753,0.0008260983,0.001610682,0.00376987,0.000410436,0.00221315,0.001896156,0.001713619,0.003288742],"category_scores_gemma":[0.2675267,0.0007432905,0.001415094,0.002735364,0.002090668,0.003605643,0.00272034,0.001600733,0.0003545046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009660899,"about_ca_system_score_gemma":0.001242822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001226902,"about_ca_topic_score_gemma":0.001314791,"domain_scores_codex":[0.9592146,0.03477322,0.001363972,0.001142666,0.003008537,0.0004970065],"domain_scores_gemma":[0.5574119,0.410191,0.01389628,0.01375596,0.003943575,0.0008011771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006205199,0.0003604927,0.03149289,0.0008756527,0.0007015028,0.0002189769,0.001029546,0.07909603,0.001256642,0.6769539,0.003633419,0.2037605],"study_design_scores_gemma":[0.0004262489,0.0003820631,0.01259598,0.0002584507,0.0002370687,0.0002369539,0.0002654821,0.5590431,0.002087261,0.420643,0.003707997,0.0001163867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03904757,0.0007012145,0.9579652,0.0004480646,0.00004076483,0.0001599416,0.0001747852,0.0002748968,0.001187527],"genre_scores_gemma":[0.5336125,0.0009111468,0.4627188,0.0002244411,0.0001786336,0.0008690265,0.0005360664,0.0001632413,0.0007860807],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07355753,"threshold_uncertainty_score":0.389014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4673828165059883,"score_gpt":0.2829766983190953,"score_spread":0.184406118186893,"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."}}