{"id":"W2058523879","doi":"10.1111/j.1468-0084.2004.099_1.x","title":"Evaluating New‐Keynesian Models of a Small Open Economy*","year":2004,"lang":"en","type":"article","venue":"Oxford Bulletin of Economics and Statistics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; New Keynesian economics; Vector autoregression; Small open economy; Variance decomposition of forecast errors; Impulse response; Structural vector autoregression; Open economy; Monetary policy; Exchange rate; Econometrics; Variance (accounting); Keynesian economics; Taylor rule; Exchange-rate pass-through; Macroeconomics; Central bank; Mathematics","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":[0.00307505,0.0006518516,0.0008963079,0.0008127181,0.0003593255,0.001951466,0.0008482852,0.0007708862,0.003847351],"category_scores_gemma":[0.01026011,0.0004003917,0.0008515542,0.000477786,0.001082752,0.002328859,0.001289304,0.001164259,0.0001759897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001454485,"about_ca_system_score_gemma":0.000940179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006450907,"about_ca_topic_score_gemma":0.004416357,"domain_scores_codex":[0.9994695,0.0002816659,0.00002552603,0.00007728391,0.0001010675,0.00004511784],"domain_scores_gemma":[0.9933779,0.004831507,0.0006742903,0.0003995779,0.0004310746,0.0002857226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006317272,0.00002635116,0.001669015,0.00003013194,0.00005515669,0.00007267966,0.00005026932,0.9258572,0.0003876273,0.06838881,0.0002865676,0.003113026],"study_design_scores_gemma":[0.00001565339,0.0000361124,0.0002622124,0.000008122869,0.00001069335,0.00001131217,0.00003076105,0.9460681,0.0001853373,0.0526866,0.0006775378,0.000007587908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4529331,0.0007886799,0.5288743,0.001243697,0.0001774504,0.00008536586,0.0003488122,0.000148674,0.01539989],"genre_scores_gemma":[0.9757473,0.0003424863,0.02162455,0.00006518463,0.00007265743,0.0000608563,0.0001839193,0.00003023542,0.001872731],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006450907,"threshold_uncertainty_score":0.01626259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1636531004701401,"score_gpt":0.2771896103074896,"score_spread":0.1135365098373495,"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."}}