{"id":"W2020539705","doi":"10.1002/jae.749","title":"Long‐run monetary neutrality and long‐horizon regressions","year":2004,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Horizon; Economics; Econometrics; Neutrality; Covariance; Regression testing; Test (biology); Regression; Statistics; Mathematics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001296941,0.0002989486,0.0009488277,0.001490798,0.0001690075,0.0001505275,0.0004050494,0.0002247947,0.0003672317],"category_scores_gemma":[0.0001119242,0.0003179059,0.0002610894,0.0006193794,0.0001243236,0.0006698566,0.00009461604,0.0005201641,0.0003004034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003057225,"about_ca_system_score_gemma":0.00004676284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009598968,"about_ca_topic_score_gemma":0.00001536682,"domain_scores_codex":[0.9973093,0.000009506574,0.001682099,0.0004272894,0.00005669412,0.0005150757],"domain_scores_gemma":[0.9974517,0.0001221335,0.001538417,0.0004051202,0.00002422707,0.0004583923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001044673,0.001506903,0.5208663,0.0004705789,0.001898161,0.0002860144,0.00351759,0.1171427,0.00008233232,0.3024288,0.00869207,0.04206398],"study_design_scores_gemma":[0.006337053,0.001083226,0.6731538,0.00007165759,0.0001023422,0.0004699471,0.0002645288,0.0009416444,0.0005852113,0.3006546,0.01502925,0.001306724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763309,0.004304765,0.003147422,0.001019344,0.0006617284,0.0001925743,0.0001004111,0.00002048043,0.01422241],"genre_scores_gemma":[0.9946239,0.002382565,0.001871333,0.000445988,0.0004713006,0.000004251366,0.00001031834,0.00003753557,0.0001527876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1522875,"threshold_uncertainty_score":0.9999273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09312452139036453,"score_gpt":0.2358709156240168,"score_spread":0.1427463942336522,"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."}}