{"id":"W1974318565","doi":"10.1016/j.jeconom.2009.03.010","title":"GMM redundancy results for general missing data problems","year":2009,"lang":"en","type":"article","venue":"Journal of Econometrics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Weighting; Moment (physics); Redundancy (engineering); Mathematics; Generalized method of moments; Endogeneity; Selection (genetic algorithm); Counterintuitive; Set (abstract data type); Econometrics; Consistency (knowledge bases); Missing data; Statistics; Mathematical optimization; Computer science; Applied mathematics; Panel data; Artificial intelligence","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":[0.03248216,0.002067596,0.005199404,0.00416536,0.001713425,0.002907744,0.004863056,0.00297619,0.01186185],"category_scores_gemma":[0.1849746,0.002040179,0.003911885,0.004784633,0.004280319,0.008584167,0.004499159,0.005236163,0.001723774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634835,"about_ca_system_score_gemma":0.003736038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003817249,"about_ca_topic_score_gemma":0.002768142,"domain_scores_codex":[0.9868189,0.008415855,0.0009306255,0.001230035,0.001805961,0.0007986492],"domain_scores_gemma":[0.7513325,0.2162478,0.00652152,0.01669368,0.007895974,0.00130848],"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":[0.0008991088,0.0002336362,0.005841046,0.001649918,0.001046893,0.001501677,0.00113283,0.06449495,0.00198795,0.8123257,0.02171291,0.0871734],"study_design_scores_gemma":[0.0001457823,0.00008400668,0.003035114,0.0002274145,0.0004623991,0.000567804,0.0002080034,0.2121957,0.001194128,0.7750537,0.006743358,0.00008258684],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02227252,0.004952357,0.9609038,0.004497774,0.0003885811,0.0001141855,0.0007423482,0.000627559,0.005500822],"genre_scores_gemma":[0.5259073,0.008865072,0.4385542,0.002499645,0.003328018,0.0009781043,0.00369585,0.001459229,0.01471254],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03248216,"threshold_uncertainty_score":0.1717842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.615306100627107,"score_gpt":0.4352261154251901,"score_spread":0.1800799852019169,"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."}}