{"id":"W3123155673","doi":"10.24149/gwp86","title":"Do Banking Shocks Matter for the U.S. Economy?","year":2011,"lang":"en","type":"preprint","venue":"Federal Reserve Bank of Dallas, Globalization and Monetary Policy Institute Working Papers","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Dynamic stochastic general equilibrium; Economics; Investment (military); Great recession; Recession; Monetary economics; Net worth; Bayesian vector autoregression; Financial accelerator; Bayesian probability; Finance; Monetary policy; Macroeconomics; Keynesian economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008966297,0.0005157671,0.000822356,0.0004045612,0.0005940342,0.0004288788,0.000861722,0.0004771753,0.0003050503],"category_scores_gemma":[0.0003022494,0.0005120243,0.0003747819,0.000356321,0.0004333812,0.0002334809,0.0006080672,0.0003333029,0.00001809732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003115362,"about_ca_system_score_gemma":0.0001936698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005305607,"about_ca_topic_score_gemma":0.001146502,"domain_scores_codex":[0.9968109,0.00005587756,0.001384925,0.00105323,0.0001180601,0.0005769923],"domain_scores_gemma":[0.9974516,0.0001328602,0.001158137,0.00102788,0.0001085293,0.0001209644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001077285,0.00009694069,0.3399923,0.0005677023,0.0003746337,9.938154e-7,0.001159031,0.03606256,0.000003503332,0.6162255,0.001739266,0.003669841],"study_design_scores_gemma":[0.001622063,0.0001003894,0.3022374,0.0006531372,0.0001215185,0.00001168937,0.00009098704,0.01558679,0.00002455055,0.3193843,0.3587571,0.001410096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2607422,0.04450868,0.03419041,0.01415588,0.00720984,0.007051127,0.001620315,0.0003812215,0.6301404],"genre_scores_gemma":[0.9946663,0.00144353,0.001307865,0.001051774,0.0005223894,0.0001125327,0.0003628404,0.00006002846,0.0004727627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7339241,"threshold_uncertainty_score":0.9997332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04613072670587938,"score_gpt":0.2651308374143592,"score_spread":0.2190001107084799,"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."}}