{"id":"W4289823626","doi":"10.2139/ssrn.4176998","title":"Estimating the Feedback Among Credit Rating Agencies and its Impact on the Municipal Bond Market","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ceteris paribus; Credit rating; Bond credit rating; Incentive; Yield (engineering); Bond; Economics; Endogeneity; Actuarial science; Bond market; Econometrics; Business; Credit risk; Microeconomics; Monetary economics; Finance; Credit reference","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01084501,0.0004523307,0.0009036053,0.001396156,0.0004753332,0.002802706,0.0009154087,0.001930624,0.003670705],"category_scores_gemma":[0.06215269,0.0004545269,0.0006204575,0.00212449,0.0004899823,0.00159985,0.0007405938,0.001699777,0.0006897792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001840036,"about_ca_system_score_gemma":0.001754764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07810757,"about_ca_topic_score_gemma":0.04789294,"domain_scores_codex":[0.9955295,0.002916648,0.0001975147,0.0005724329,0.0003270628,0.0004569442],"domain_scores_gemma":[0.917818,0.06252972,0.0115104,0.00207021,0.00409598,0.001975769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009792661,0.0007192792,0.8932487,0.00005080401,0.0003368626,0.0001853843,0.0002103893,0.07354865,0.0006975078,0.002006977,0.002715101,0.02530117],"study_design_scores_gemma":[0.000157003,0.0005301105,0.3935901,0.00002452726,0.000397855,0.00005731066,0.0007489533,0.5999523,0.0008787375,0.002327731,0.001295641,0.00003974021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966171,0.0001821822,0.001305966,0.0004359666,0.00001490675,0.0000180412,0.0003413602,0.00003695668,0.0010475],"genre_scores_gemma":[0.9984441,0.00006204766,0.000410007,0.00002676268,0.0000214583,0.000006910319,0.0003671321,0.000004306469,0.0006574094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07810757,"threshold_uncertainty_score":0.1553059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825104565285796,"score_gpt":0.2358825784416541,"score_spread":0.2176315327887962,"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."}}