{"id":"W3190331032","doi":"10.1093/ectj/utab025","title":"Partially linear models with endogeneity: a conditional moment-based approach","year":2022,"lang":"en","type":"article","venue":"Research Explorer (The University of Manchester)","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Estimator; Endogeneity; Mathematics; Moment (physics); Econometrics; Independence (probability theory); Minimum-variance unbiased estimator; Conditional expectation; Statistics; Linear model; Applied 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001179827,0.0001084011,0.0002498585,0.0002870728,0.0006469174,0.00001968064,0.0006357384,0.00003910211,0.0004701277],"category_scores_gemma":[0.0000119119,0.000114285,0.0001099448,0.0002974921,0.0004022487,0.000243768,0.0003235349,0.0003841534,0.0001346459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002361862,"about_ca_system_score_gemma":0.00009158561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004746725,"about_ca_topic_score_gemma":0.000002412015,"domain_scores_codex":[0.9987406,0.0001196571,0.0002081029,0.0003740765,0.000162387,0.0003952378],"domain_scores_gemma":[0.9991943,0.000115183,0.0001417466,0.0003997098,0.00004548647,0.0001035839],"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":[0.001179878,0.001123538,0.01653283,0.0001874895,0.0004012559,0.00004755879,0.02893407,0.2196597,0.00005198585,0.7225727,0.009028761,0.0002802058],"study_design_scores_gemma":[0.006474874,0.001343974,0.01307409,0.00002747499,0.00003490238,0.0000251745,0.02828307,0.5418841,0.0003995825,0.2382991,0.1692908,0.0008628867],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9039177,0.0002745135,0.06859612,0.005828504,0.00007177985,0.0008549935,0.000668078,0.00005621893,0.01973207],"genre_scores_gemma":[0.9985456,0.000012795,0.000995475,0.0001614912,0.00005158774,0.00001651459,0.00007785669,0.00001696928,0.0001217267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4842736,"threshold_uncertainty_score":0.5147569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1757282146322998,"score_gpt":0.2497950063181673,"score_spread":0.07406679168586752,"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."}}