{"id":"W3122461714","doi":"10.1002/ijfe.1505","title":"Shock from Graying: Is the Demographic Shift Weakening Monetary Policy Effectiveness","year":2014,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monetary policy; Economics; Unemployment; Inflation (cosmology); Shock (circulatory); Inflation targeting; Monetary economics; Estimation; Macroeconomics; Medicine","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":[0.001260123,0.00009373061,0.0003163063,0.0004410961,0.0003128099,0.001340858,0.000229116,0.0007601148,0.006764005],"category_scores_gemma":[0.01021081,0.0001205613,0.0001798227,0.0004215446,0.0007630446,0.0009355533,0.0007143554,0.0008073755,0.0005917092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004243473,"about_ca_system_score_gemma":0.000288299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003317057,"about_ca_topic_score_gemma":0.002362733,"domain_scores_codex":[0.9996604,0.0001081768,0.00002713728,0.00007625675,0.00004819986,0.00007987905],"domain_scores_gemma":[0.9951639,0.001665663,0.001997056,0.0003107623,0.0003990806,0.0004634699],"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":[0.001076177,0.0002950747,0.8015646,0.0003300664,0.0002790178,0.0008929856,0.005561562,0.00685284,0.006321678,0.04845399,0.006133977,0.1222381],"study_design_scores_gemma":[0.00001899912,0.0001361436,0.9630579,0.00007752642,0.0000904269,0.000154483,0.002585914,0.003283508,0.00135158,0.02218427,0.007031211,0.00002799791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839686,0.0006630727,0.001528863,0.003737379,0.00005799211,0.000008680903,0.0003089777,0.00001677359,0.009709717],"genre_scores_gemma":[0.9990065,0.0002003598,0.00009153201,0.0001733479,0.00003861442,0.000001775284,0.00004968234,0.000002364642,0.0004358232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006764005,"threshold_uncertainty_score":0.02262783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02751178804485966,"score_gpt":0.2333405465895202,"score_spread":0.2058287585446606,"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."}}