{"id":"W2101665611","doi":"10.1111/iere.12045","title":"ON FISCAL MULTIPLIERS: ESTIMATES FROM A MEDIUM SCALE DSGE MODEL","year":2014,"lang":"en","type":"article","venue":"International Economic Review","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":204,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Dynamic stochastic general equilibrium; Economics; Government spending; Fiscal policy; Counterfactual thinking; Context (archaeology); Monetary economics; Macroeconomics; Fiscal multiplier; Multiplier (economics); General equilibrium theory; Monetary policy; Business cycle; Welfare","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005530358,0.0002512603,0.0006785716,0.0001399886,0.0000603301,0.00008478051,0.0005889865,0.00009304663,0.004883896],"category_scores_gemma":[0.0002179559,0.0002766794,0.0002676175,0.00002379722,0.00005702048,0.0003600994,0.0000826852,0.0001647313,0.01361858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002788011,"about_ca_system_score_gemma":0.00001507138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005074491,"about_ca_topic_score_gemma":0.00004209948,"domain_scores_codex":[0.9980907,0.00001484736,0.0009873072,0.00058745,0.00003259348,0.0002870754],"domain_scores_gemma":[0.9986832,0.0002178873,0.0004660416,0.0004726662,0.000006917163,0.0001533305],"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":[0.0001939005,0.0004818638,0.0454477,0.0005844485,0.001206422,0.000005582901,0.0005938392,0.1872823,0.00002864014,0.4524837,0.2875406,0.02415104],"study_design_scores_gemma":[0.0006252085,0.00003620884,0.003194391,0.0003432922,0.00001447826,0.00000450188,0.000002368804,0.7533302,0.00003051921,0.1353258,0.1067262,0.0003668666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4417257,0.02442443,0.02767828,0.04007704,0.006677325,0.001372129,0.005029894,0.0002878637,0.4527273],"genre_scores_gemma":[0.9726711,0.009781522,0.003648269,0.01116548,0.0007173434,0.00008549194,0.0003351516,0.00005431351,0.001541364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5660478,"threshold_uncertainty_score":0.9999685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06336589184862439,"score_gpt":0.2713328868430843,"score_spread":0.2079669949944599,"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."}}