{"id":"W2507746587","doi":"10.1111/ecin.12741","title":"MONETARY AND FISCAL POLICY DESIGN AT THE ZERO LOWER BOUND: EVIDENCE FROM THE LAB","year":2018,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"FP7 Socio-Economic Sciences and Humanities; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Liquidity trap; Economics; Market liquidity; Zero lower bound; Fiscal policy; Monetary policy; Monetary economics; Inflation (cosmology); Inflation targeting; Macroeconomics; Liquidity risk; Physics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001331211,0.0003099362,0.0004533607,0.0001037154,0.0006785317,0.000262689,0.0006794865,0.0001659131,0.002990014],"category_scores_gemma":[0.0001950727,0.0002403357,0.000151704,0.00007568777,0.001053459,0.0006236986,0.000375541,0.0002374929,0.01015525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00039975,"about_ca_system_score_gemma":0.00004778874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01263088,"about_ca_topic_score_gemma":0.0007468486,"domain_scores_codex":[0.9978142,0.00009007491,0.0007454089,0.0007180346,0.00002642759,0.0006058034],"domain_scores_gemma":[0.9975636,0.0008335678,0.0003827251,0.001062405,0.000005541235,0.000152143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006222447,0.00006865709,0.1145496,0.00001594177,0.0006099096,0.000009066879,0.01656604,0.003990212,0.0000724519,0.01369639,0.8443661,0.005433449],"study_design_scores_gemma":[0.001884023,0.0006390073,0.3725733,0.00008519182,0.00007117659,0.00009167411,0.0005145087,0.06891844,0.0006865043,0.1607379,0.3921999,0.001598303],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741365,0.005420796,0.001345783,0.01310905,0.002756169,0.0003764766,0.000296571,0.00004041475,0.002518234],"genre_scores_gemma":[0.9844082,0.001008569,0.0002489402,0.006320685,0.005619403,0.00003171341,0.00001694401,0.00004408665,0.002301447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4521661,"threshold_uncertainty_score":0.9979214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1355820265887647,"score_gpt":0.2745031763652178,"score_spread":0.138921149776453,"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."}}