{"id":"W2237712504","doi":"10.1257/aer.97.3.636","title":"The Timing of Monetary Policy Shocks","year":2007,"lang":"en","type":"preprint","venue":"American Economic Review","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; London School of Economics and Political Science","keywords":"Stylized fact; Economics; Shock (circulatory); Monetary policy; Impulse response; Monetary economics; Pace; Impulse (physics); Quarter (Canadian coin); Wage; Keynesian economics; Econometrics; Macroeconomics; Labour economics; Physics","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":[0.0008975981,0.0001718068,0.0003864107,0.000619546,0.0002168871,0.00176794,0.0002473975,0.0008155071,0.002854493],"category_scores_gemma":[0.009494288,0.0002418714,0.0001410477,0.0008657092,0.0002843867,0.0007447231,0.0004883163,0.0008164253,0.0006082599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007150597,"about_ca_system_score_gemma":0.0002363232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001717901,"about_ca_topic_score_gemma":0.0008897324,"domain_scores_codex":[0.9995901,0.00009942335,0.00004232417,0.00009584968,0.000108132,0.00006420301],"domain_scores_gemma":[0.9979252,0.0009077346,0.0007463169,0.0001067601,0.000203102,0.0001108726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002037734,0.0003840933,0.4630025,0.0007427577,0.0004876881,0.002157014,0.001635491,0.1228367,0.0346812,0.1659446,0.01193387,0.1941565],"study_design_scores_gemma":[0.00008829757,0.0002159015,0.8319095,0.0001886578,0.0001083478,0.0006294508,0.001444256,0.05472322,0.004842407,0.08706168,0.01870934,0.00007888944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634792,0.002833974,0.009657471,0.00182288,0.0001984036,0.00003108104,0.0009979048,0.0001245493,0.02085462],"genre_scores_gemma":[0.9975584,0.0007318493,0.0004894316,0.00007330001,0.00004622537,0.000006694616,0.0001547331,0.000009883514,0.0009294873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002854493,"threshold_uncertainty_score":0.00954926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08857237310011122,"score_gpt":0.3031338942533529,"score_spread":0.2145615211532416,"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."}}