{"id":"W2044921758","doi":"10.1080/07474930903562221","title":"Cointegrating Regressions with Time Heterogeneity","year":2010,"lang":"en","type":"article","venue":"Econometric Reviews","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heteroscedasticity; Econometrics; Cointegration; Economics; Error correction model; Mathematics; Statistics; Function (biology); Regression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005107137,0.000875668,0.001160254,0.001841285,0.0004668808,0.001887955,0.001078964,0.00153147,0.00437498],"category_scores_gemma":[0.0220411,0.0005561053,0.001145012,0.003965849,0.0007757468,0.002758569,0.001537957,0.001845228,0.001078137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008640708,"about_ca_system_score_gemma":0.0009027348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007817505,"about_ca_topic_score_gemma":0.005692432,"domain_scores_codex":[0.9969848,0.001562273,0.0001974344,0.0006129379,0.0003069043,0.0003356932],"domain_scores_gemma":[0.9865184,0.008063785,0.002919014,0.00181838,0.0005468677,0.0001335108],"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":[0.0001414644,0.0001310869,0.05582662,0.0002167757,0.001219465,0.001347973,0.0004799367,0.4829563,0.001421053,0.3527613,0.005649147,0.09784881],"study_design_scores_gemma":[0.00005505108,0.0001128053,0.02127592,0.00008398925,0.0003741191,0.0002948192,0.0001707407,0.7058381,0.000832915,0.2562813,0.01462071,0.00005955315],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3019628,0.01367496,0.6633928,0.003118908,0.0004429809,0.00009856489,0.001328068,0.0009672271,0.01501355],"genre_scores_gemma":[0.9612799,0.003887137,0.01546599,0.0002055058,0.0003607975,0.00009018716,0.001266843,0.00009664622,0.01734702],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007817505,"threshold_uncertainty_score":0.02700943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09542220254182514,"score_gpt":0.2571975192475972,"score_spread":0.161775316705772,"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."}}