{"id":"W4403887127","doi":"10.1080/07350015.2024.2421991","title":"Combining Instrumental Variable Estimators for a Panel Data Model with Factors","year":2024,"lang":"en","type":"article","venue":"Journal of Business and Economic Statistics","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Instrumental variable; Estimator; Panel data; Econometrics; Variable (mathematics); Statistics; Computer science; 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":[0.01916766,0.001381624,0.001963505,0.00312657,0.0006287633,0.002835326,0.003218303,0.001728376,0.003501357],"category_scores_gemma":[0.08883747,0.001101996,0.0019177,0.004324978,0.001668519,0.00361892,0.003390861,0.003280272,0.001018167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009304375,"about_ca_system_score_gemma":0.001938177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003749868,"about_ca_topic_score_gemma":0.00331739,"domain_scores_codex":[0.9886622,0.008439261,0.0003691328,0.001135808,0.001066308,0.000327366],"domain_scores_gemma":[0.9467918,0.04367429,0.003253633,0.004146214,0.001884194,0.0002499855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001186671,0.0001864645,0.01213392,0.0004424721,0.001147555,0.0002590399,0.0004193782,0.3815991,0.0008956988,0.3733659,0.005082931,0.2243489],"study_design_scores_gemma":[0.00004313135,0.000048171,0.0008755858,0.00009853149,0.0001105373,0.00004216779,0.00006539489,0.8125475,0.0007233669,0.179746,0.00565076,0.00004887935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001931533,0.0001439538,0.9972198,0.0001164428,0.00002350763,0.00002826819,0.00007125686,0.00009859081,0.0003666773],"genre_scores_gemma":[0.1759139,0.001322044,0.8160027,0.0004463458,0.0003342944,0.0007939279,0.001182032,0.0002311477,0.003773747],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01916766,"threshold_uncertainty_score":0.1013695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1013585950172852,"score_gpt":0.2567375296026604,"score_spread":0.1553789345853752,"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."}}