{"id":"W3123254011","doi":"","title":"Time-Varying Impact of Uncertainty Shocks on the US Housing Market","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shock (circulatory); Quarter (Canadian coin); Vector autoregression; Econometrics; Economics; Sign (mathematics); Standard deviation; House price; Variable (mathematics); Monetary economics; Statistics; Mathematics; Geography","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":[0.001055488,0.0003260106,0.0004073874,0.0006670058,0.0001883853,0.001393155,0.0002659122,0.0007639985,0.001733141],"category_scores_gemma":[0.006138749,0.0002055136,0.0004944336,0.001036177,0.0003268393,0.001159038,0.0006632083,0.001154599,0.0002702845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005393585,"about_ca_system_score_gemma":0.0003397062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02430734,"about_ca_topic_score_gemma":0.01782689,"domain_scores_codex":[0.999637,0.00009534536,0.00002865581,0.00008675442,0.00007489719,0.00007729915],"domain_scores_gemma":[0.9972989,0.001257302,0.0008823994,0.0001347167,0.0002651865,0.0001615235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007063504,0.0004084642,0.799305,0.0001341047,0.0005721163,0.0009439752,0.0003258796,0.1471917,0.00240284,0.008599929,0.01074453,0.02866518],"study_design_scores_gemma":[0.00003295722,0.0002622513,0.7050555,0.00004804022,0.0001728697,0.0001190817,0.0005642523,0.2824489,0.001687749,0.005229842,0.004301731,0.00007695255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939866,0.0007199587,0.001651731,0.0006768763,0.00004508975,0.000008314906,0.001719586,0.00005170586,0.001140004],"genre_scores_gemma":[0.9971156,0.0003003511,0.0001749583,0.00006248143,0.0000354765,0.000004433583,0.001897342,0.000007466308,0.0004018287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02430734,"threshold_uncertainty_score":0.04833174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04584685226869066,"score_gpt":0.2972421713857705,"score_spread":0.2513953191170798,"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."}}