{"id":"W3046014911","doi":"10.1093/ectj/utab025","title":"Partially linear models with endogeneity: a conditional moment-based approach","year":2021,"lang":"en","type":"preprint","venue":"Econometrics Journal","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Estimator; Endogeneity; Mathematics; Moment (physics); Econometrics; Minimum-variance unbiased estimator; Conditional expectation; Statistics; Independence (probability theory); Linear model; Generalized method of moments","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001673626,0.0007044218,0.001610048,0.002519916,0.000377082,0.001085664,0.0009808061,0.0006296312,0.001016572],"category_scores_gemma":[0.0001518278,0.0008015368,0.0007543438,0.0008002534,0.0001884459,0.0007520907,0.0004383931,0.002066709,0.0002312423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008658907,"about_ca_system_score_gemma":0.0006816274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000061704,"about_ca_topic_score_gemma":0.00001188081,"domain_scores_codex":[0.9954311,0.00007024012,0.002079025,0.001310656,0.0001478029,0.000961185],"domain_scores_gemma":[0.9960287,0.0001455566,0.002134159,0.0008585584,0.0001826762,0.0006503086],"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":[0.000134959,0.00110418,0.02886425,0.0003815243,0.001549688,0.0001379757,0.0004535375,0.7840822,0.000001407929,0.179903,0.002898459,0.0004887839],"study_design_scores_gemma":[0.004388771,0.0003542613,0.005861732,0.0001290683,0.0001302503,0.0004491686,0.0001942655,0.5974528,0.0001007584,0.3732133,0.01535023,0.002375406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1091188,0.00650916,0.7706308,0.001571359,0.001843812,0.0006556885,0.002415093,0.0001019647,0.1071534],"genre_scores_gemma":[0.9645419,0.0003320923,0.03056438,0.001317006,0.001691375,0.000129886,0.0009325778,0.0001443283,0.0003464279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8554231,"threshold_uncertainty_score":0.9999513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1199435414247341,"score_gpt":0.2359223272707022,"score_spread":0.1159787858459681,"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."}}