{"id":"W3155439741","doi":"10.24908/iqurcp.9843","title":"The Effect of Quantitative Easing on Investment in the US and UK: An SVAR Approach","year":2018,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quantitative easing; Economics; Bond; Asset (computer security); Investment (military); Market liquidity; Monetary economics; Econometric model; Financial economics; Monetary policy; Econometrics; Finance; Central bank","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002753687,0.0005031934,0.0006699663,0.001316945,0.0002263938,0.002015944,0.0005570716,0.000668121,0.002655241],"category_scores_gemma":[0.0103252,0.0004289185,0.001075327,0.00171299,0.000709502,0.00112593,0.001132097,0.001402105,0.0004062833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002116757,"about_ca_system_score_gemma":0.0006217634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05396722,"about_ca_topic_score_gemma":0.02777034,"domain_scores_codex":[0.9979669,0.0009301917,0.0001581859,0.0003357582,0.0003189871,0.0002898733],"domain_scores_gemma":[0.9904585,0.006832498,0.001524296,0.0003714975,0.0005922323,0.0002209637],"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":[0.001235895,0.0003293324,0.440764,0.0003639142,0.001746034,0.001578871,0.0007369042,0.4308143,0.002777047,0.05298065,0.007008117,0.05966498],"study_design_scores_gemma":[0.00008008327,0.001160957,0.4257941,0.0001313198,0.0006008434,0.0001742111,0.001025585,0.5448512,0.003269194,0.01213138,0.01062134,0.0001597296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731347,0.001679812,0.01389403,0.001219761,0.0001039179,0.00003983481,0.001729712,0.00007724086,0.008120983],"genre_scores_gemma":[0.9928398,0.0009079379,0.001594212,0.0001179005,0.00004032354,0.00002432232,0.001253087,0.00001600815,0.003206389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05396722,"threshold_uncertainty_score":0.1073062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1356182714483289,"score_gpt":0.3514473630532518,"score_spread":0.2158290916049229,"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."}}