{"id":"W4393851768","doi":"10.1016/j.jhe.2024.101993","title":"Effect of conventional and unconventional monetary policy shocks on housing prices in Canada","year":2024,"lang":"en","type":"article","venue":"Journal of Housing Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quantitative easing; Monetary policy; Economics; Monetary economics; Surprise; Shock (circulatory); Bayesian vector autoregression; Basis point; Real estate; Macroeconomics; Interest rate; Bayesian probability; Central bank; Finance","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":[0.0007086273,0.000287255,0.000621713,0.0008209313,0.002206874,0.0036242,0.00127071,0.001469192,0.007342879],"category_scores_gemma":[0.004075004,0.0003425071,0.0007763625,0.002039972,0.001392659,0.0008036324,0.001302119,0.001917855,0.0004220546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06047265,"about_ca_system_score_gemma":0.04824562,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99701,"about_ca_topic_score_gemma":0.9976749,"domain_scores_codex":[0.9991331,0.00006022965,0.00004977657,0.0001057248,0.0002102101,0.0004410096],"domain_scores_gemma":[0.9957576,0.0006597426,0.0005414105,0.0000935796,0.001775188,0.0011724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00283908,0.000408605,0.9153698,0.0001672621,0.0004739589,0.001083243,0.002453975,0.01783818,0.001749458,0.01398068,0.02167549,0.02196021],"study_design_scores_gemma":[0.0001228151,0.00006235244,0.9791687,0.00004015017,0.0001099178,0.00005615828,0.00393176,0.01030921,0.0004312164,0.0007094619,0.004982271,0.00007604188],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888296,0.0006969074,0.00008220002,0.003153702,0.00005162158,0.00001194645,0.002816664,0.0000257433,0.004331641],"genre_scores_gemma":[0.9952738,0.0004131121,0.00005153086,0.0001711299,0.00001467298,0.000002723558,0.0008845492,0.000008465974,0.003179962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06047265,"threshold_uncertainty_score":0.4387618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164221737922567,"score_gpt":0.215668803246352,"score_spread":0.2040265858671263,"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."}}