{"id":"W2146344091","doi":"10.2307/3315979","title":"Nonparametric two‐step regression estimation when regressors and error are dependent","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; University of British Columbia","keywords":"Estimator; Independent and identically distributed random variables; Mathematics; Regression function; Nonparametric statistics; Nonparametric regression; Convergence (economics); Statistics; Series (stratigraphy); Instrumental variable; Regression; Function (biology); Regression analysis; Applied mathematics; Random variable","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01247768,0.0005600292,0.001471943,0.0009099394,0.0003178846,0.001324556,0.002117196,0.001836334,0.001652851],"category_scores_gemma":[0.06143444,0.0008162993,0.001036364,0.001213423,0.001636826,0.001816797,0.001950715,0.002167052,0.0004453439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007407686,"about_ca_system_score_gemma":0.00110952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005654726,"about_ca_topic_score_gemma":0.003527281,"domain_scores_codex":[0.9945098,0.003739528,0.0001832189,0.0006340274,0.0006572558,0.0002761763],"domain_scores_gemma":[0.9558609,0.0360412,0.002810286,0.003305755,0.001671015,0.0003108425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006411966,0.0003203961,0.02366847,0.0001855397,0.0005447552,0.0005839859,0.0002003613,0.7931821,0.002972989,0.0878242,0.001744049,0.08813184],"study_design_scores_gemma":[0.00002358743,0.00003586091,0.003048221,0.00001062596,0.00001758149,0.00003831431,0.00001718687,0.981319,0.0006299266,0.01444895,0.0003940307,0.00001674901],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0769657,0.0001766506,0.9211789,0.0003059109,0.00003655526,0.00003646035,0.0001230697,0.000206861,0.0009698904],"genre_scores_gemma":[0.8891302,0.0002187603,0.1052286,0.0001378613,0.0001056618,0.0001551852,0.0005159071,0.00006578655,0.004442088],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01247768,"threshold_uncertainty_score":0.06598908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05698266633839556,"score_gpt":0.2365361645760526,"score_spread":0.179553498237657,"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."}}