{"id":"W2020141331","doi":"10.1504/ijmmno.2014.059940","title":"Transmission of news shocks in a small open economy DSGE model","year":2014,"lang":"en","type":"article","venue":"International Journal of Mathematical Modelling and Numerical Optimisation","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dynamic stochastic general equilibrium; Economics; Small open economy; Aggregate (composite); Bayes estimator; Econometrics; Bayesian probability; Variance (accounting); Aggregate data; Markov chain Monte Carlo; Bayesian vector autoregression; Interest rate; Monetary economics; Macroeconomics; Monetary policy; Statistics","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":[0.001022256,0.0006269932,0.001058356,0.0009504986,0.0005346266,0.002174941,0.00113231,0.001393748,0.002710661],"category_scores_gemma":[0.004960385,0.0005206353,0.0006301026,0.0007173564,0.001010342,0.001297151,0.000749294,0.001195845,0.0003169608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546556,"about_ca_system_score_gemma":0.001445626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1066589,"about_ca_topic_score_gemma":0.03788048,"domain_scores_codex":[0.9996718,0.0001256915,0.00001854888,0.00007156176,0.00006053781,0.00005175852],"domain_scores_gemma":[0.9984571,0.0009085792,0.000272993,0.00006291126,0.0001900624,0.0001082528],"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":[0.0001016363,0.00002824677,0.005436598,0.00003604396,0.00009587123,0.0003689284,0.0001238039,0.9175954,0.0006744519,0.07068179,0.001275402,0.003581772],"study_design_scores_gemma":[0.00003487351,0.00001544813,0.001756217,0.00000884967,0.00004240414,0.0000452456,0.00005449745,0.9832613,0.0001585228,0.01339577,0.001198515,0.00002825086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6571172,0.001214493,0.3126959,0.002508039,0.0001833583,0.000133542,0.002962051,0.0004746047,0.02271085],"genre_scores_gemma":[0.9804205,0.0007282186,0.009681487,0.000134005,0.00006471018,0.00009098641,0.001086163,0.00004703807,0.007746933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1066589,"threshold_uncertainty_score":0.2120762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1082597887889616,"score_gpt":0.2705869117804416,"score_spread":0.1623271229914801,"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."}}