{"id":"W3138448298","doi":"","title":"Monetary policy and housing prices : evidence for the US, Japan and Canada","year":2009,"lang":"en","type":"dissertation","venue":"Dione (University of Piraeus)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monetary policy; Economics; Monetary economics; Macroeconomics; Keynesian economics","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":[0.0004508413,0.0002034074,0.0002459442,0.001525879,0.001252384,0.001181628,0.0003926271,0.0003211903,0.001825251],"category_scores_gemma":[0.002907875,0.000149907,0.0002852282,0.00543376,0.0006387417,0.0003192514,0.0005635137,0.0003931597,0.0001565048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008875137,"about_ca_system_score_gemma":0.01341515,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9876459,"about_ca_topic_score_gemma":0.9935192,"domain_scores_codex":[0.9996355,0.00002410088,0.00001988789,0.00003342272,0.0001517302,0.0001354322],"domain_scores_gemma":[0.9979634,0.0002363237,0.0004781483,0.00005895012,0.0009587626,0.0003044375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003808186,0.00007058989,0.9481731,0.0002145124,0.0002143226,0.0003866895,0.001762405,0.0007797565,0.0003825414,0.002350921,0.006634276,0.03865003],"study_design_scores_gemma":[0.00002009083,0.00001301756,0.9940737,0.00005516972,0.00008571558,0.00004547122,0.001253423,0.0004035258,0.0001485451,0.0001355194,0.003752242,0.00001359776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791982,0.005719054,0.00008074776,0.001017831,0.00001596997,0.00001420681,0.002221707,0.000009908024,0.01172237],"genre_scores_gemma":[0.9910119,0.005676424,0.0001365385,0.0001134876,0.00001134389,0.0000047092,0.001428657,0.000005050889,0.001611961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01235408,"threshold_uncertainty_score":0.06439388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02531584147001791,"score_gpt":0.2057426987833041,"score_spread":0.1804268573132862,"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."}}