{"id":"W4393372959","doi":"10.2139/ssrn.4780385","title":"Optimal Climate and Monetary-Fiscal Policy in a Climate-Dsge Framework1","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Dynamic stochastic general equilibrium; Economics; Monetary policy; Fiscal policy; Climate change; Monetary economics; Macroeconomics; Natural resource economics; Oceanography; Geology","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":[0.002906068,0.001077689,0.002321879,0.0009649782,0.0009776503,0.004306688,0.001219574,0.003718374,0.007378296],"category_scores_gemma":[0.01106584,0.00108762,0.0008000195,0.001283316,0.00195135,0.004277928,0.002191962,0.003150624,0.0004457554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003042741,"about_ca_system_score_gemma":0.003892513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0140906,"about_ca_topic_score_gemma":0.009199694,"domain_scores_codex":[0.998906,0.0006257462,0.00004079249,0.0001712533,0.00008904556,0.0001670189],"domain_scores_gemma":[0.997454,0.001632557,0.0003577957,0.00007918521,0.0002075204,0.0002690481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001658521,0.00005021003,0.0006869435,0.0001402105,0.00009187506,0.0001386107,0.00005406059,0.336432,0.000222151,0.6536825,0.005377155,0.002958383],"study_design_scores_gemma":[0.00009998029,0.00003272909,0.0006980059,0.00003923328,0.00004462752,0.00003345735,0.00006854285,0.2540287,0.000105152,0.741862,0.002955678,0.0000319629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3961102,0.01216988,0.3560629,0.0689073,0.002020448,0.0001611479,0.004834216,0.0007009384,0.159033],"genre_scores_gemma":[0.971325,0.003634099,0.01114039,0.0007263396,0.0006562432,0.00006178935,0.0003956095,0.0001122184,0.01194822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0140906,"threshold_uncertainty_score":0.02801716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03085239941725168,"score_gpt":0.2652231203658702,"score_spread":0.2343707209486185,"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."}}