{"id":"W3125040439","doi":"10.24149/gwp198","title":"Exchange Rate Flexibility under the Zero Lower Bound","year":2014,"lang":"en","type":"article","venue":"Federal Reserve Bank of Dallas, Globalization and Monetary Policy Institute Working Papers","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Economic and Social Research Council; Social Sciences and Humanities Research Council of Canada; Royal Bank of Canada","keywords":"Zero lower bound; Exchange-rate flexibility; Monetary economics; Economics; Exchange rate; Constraint (computer-aided design); Currency; Upper and lower bounds; Zero (linguistics); Monetary policy; International Fisher effect; Order (exchange); Flexibility (engineering); Nominal interest rate; Interest rate; Limiting; Exchange-rate regime; International economics; Real interest rate; Mathematics; Finance","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.001051546,0.0003179439,0.0005307882,0.0002023773,0.0005067832,0.0002188002,0.0003934576,0.0001819592,0.0002177616],"category_scores_gemma":[0.000297202,0.0002925124,0.0001798402,0.0003422883,0.0003927629,0.0003541494,0.000153891,0.0001754905,0.00006142375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001536711,"about_ca_system_score_gemma":0.00004504764,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01177888,"about_ca_topic_score_gemma":0.002342676,"domain_scores_codex":[0.9978744,0.00010988,0.0008309989,0.0005586206,0.00008075948,0.0005453291],"domain_scores_gemma":[0.9985966,0.00009508964,0.0004642399,0.0006289587,0.0000194894,0.0001956053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003498033,0.0001602491,0.07744174,0.0001965413,0.0004069394,0.000003349716,0.0008521826,0.08339646,0.0000735977,0.8234482,0.007944833,0.005726092],"study_design_scores_gemma":[0.001797121,0.0002093526,0.1656876,0.00009774114,0.00002887228,0.00001320688,0.00005932664,0.02922073,0.0000381632,0.06634869,0.7358027,0.0006965506],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8224793,0.002451544,0.002625651,0.009149442,0.001175617,0.0005411238,0.0001684734,0.00009042839,0.1613184],"genre_scores_gemma":[0.9913697,0.001076105,0.0001690852,0.005164948,0.0003980029,0.00001207857,0.0001094548,0.00002631396,0.001674306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7570995,"threshold_uncertainty_score":0.9999527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06950271031573482,"score_gpt":0.2646556923135284,"score_spread":0.1951529819977935,"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."}}