{"id":"W3124546419","doi":"10.3386/w6675","title":"Nominal Income Targeting in an Open-Economy Optimizing Model","year":2000,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Inflation (cosmology); Monetary policy; Aggregate income; Nominal interest rate; Index (typography); Aggregate (composite); Inflation targeting; Section (typography); Monetary economics; Macroeconomics; Real gross domestic product; Measure (data warehouse); Econometrics; Real interest rate; Income distribution; Computer science","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":[0.001502047,0.0009952978,0.001473336,0.000639037,0.0007219813,0.003032827,0.001749106,0.003362646,0.009723006],"category_scores_gemma":[0.004986493,0.0005808231,0.0007718943,0.0006706492,0.001819882,0.001745961,0.001873186,0.00185163,0.001036389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002170796,"about_ca_system_score_gemma":0.001643715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01245656,"about_ca_topic_score_gemma":0.00572743,"domain_scores_codex":[0.999423,0.000234731,0.00002136768,0.0001207221,0.00009981797,0.000100371],"domain_scores_gemma":[0.9977701,0.001297365,0.0003550565,0.0000703906,0.0002502654,0.0002569318],"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":[0.00005117435,0.00003849827,0.0004272844,0.000056941,0.00002310624,0.0001952392,0.00005766013,0.8969379,0.0001352975,0.09813278,0.001648192,0.002295994],"study_design_scores_gemma":[0.00003227789,0.00002382622,0.0001438168,0.00001259969,0.000009886612,0.00001764915,0.00002724657,0.9669927,0.00003280827,0.03160865,0.001088349,0.00001016343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1853325,0.00263416,0.6170787,0.01007819,0.0003862638,0.0002126992,0.001973167,0.000616007,0.1816883],"genre_scores_gemma":[0.9321662,0.0009748313,0.02088917,0.0004407541,0.0001458478,0.0002359906,0.0004410587,0.00008083165,0.04462542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01245656,"threshold_uncertainty_score":0.03252667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5177814684966008,"score_gpt":0.4767084551849184,"score_spread":0.04107301331168239,"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."}}