{"id":"W3202529000","doi":"10.34989/swp-2021-46","title":"More Money for Some: The Redistributive Effects of Open Market Operations","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Market liquidity; Portfolio; Bond; Open market operation; Welfare; Monetary economics; Economics; Consumption (sociology); Inequality; Monetary policy; Distribution (mathematics); Money supply; Bond market; Business; Financial economics; Market economy; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0007593344,0.0003314186,0.0003788843,0.0003917517,0.001031854,0.002262948,0.0006584699,0.001335147,0.02564869],"category_scores_gemma":[0.004737929,0.0001850658,0.0005355727,0.0004312293,0.002895364,0.003515793,0.001951219,0.001469966,0.0008103413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001208652,"about_ca_system_score_gemma":0.0005886929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002894365,"about_ca_topic_score_gemma":0.00268305,"domain_scores_codex":[0.9996114,0.0001554958,0.000008476639,0.00007053429,0.00004360528,0.0001105252],"domain_scores_gemma":[0.9977154,0.001052431,0.0006054126,0.0002125564,0.0001186754,0.0002955958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007451198,0.0003055864,0.009869855,0.0001611997,0.0001050591,0.0008143932,0.001106783,0.01217713,0.002471458,0.9056917,0.01666496,0.0498868],"study_design_scores_gemma":[0.0003387917,0.0003457994,0.01860511,0.0001323982,0.0001401772,0.0003661071,0.001352092,0.0236,0.001399775,0.9092727,0.0443817,0.0000653472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6641213,0.003535426,0.0639461,0.04927422,0.0005785535,0.0001324863,0.001127393,0.0003580827,0.2169265],"genre_scores_gemma":[0.9854063,0.000610606,0.001359567,0.00112334,0.0002306867,0.00002842943,0.00005321893,0.00003463091,0.01115311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02564869,"threshold_uncertainty_score":0.08580339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04141635916821104,"score_gpt":0.3176518551004295,"score_spread":0.2762354959322185,"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."}}