{"id":"W2108860390","doi":"10.1353/mcb.2006.0056","title":"Is the Exchange Rate a Shock Absorber or a Source of Shocks? New Empirical Evidence","year":2006,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":183,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmark (surveying); Shock (circulatory); Exchange rate; Vector autoregression; Structural vector autoregression; Sign (mathematics); Econometrics; Economics; Identification (biology); Contrast (vision); Autoregressive model; Monetary economics; Computer science; Mathematics; Monetary policy; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001168477,0.0001532809,0.0004992679,0.0001988607,0.0001054498,0.00009524047,0.0002617351,0.00009250874,0.001185625],"category_scores_gemma":[0.0001720711,0.000107906,0.0001959315,0.0001419484,0.0000696594,0.0004682153,0.00006237924,0.0002385612,0.00002544658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004723899,"about_ca_system_score_gemma":0.00004293787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009690114,"about_ca_topic_score_gemma":0.00004494389,"domain_scores_codex":[0.9985088,0.00002856419,0.0009619585,0.0001755424,0.00005815236,0.0002670294],"domain_scores_gemma":[0.998391,0.0003199794,0.0009702632,0.0001951328,0.00002299138,0.0001005747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001019235,0.0001737235,0.5283765,0.0001948524,0.0004256394,0.0000513365,0.008126191,0.003181608,0.000239467,0.001365867,0.4481132,0.008732398],"study_design_scores_gemma":[0.003632534,0.001181781,0.5852524,0.0007810318,0.0001925698,0.000651587,0.0004249065,0.02683122,0.0008057294,0.06541133,0.313955,0.0008798706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796792,0.01057421,0.00201183,0.006155755,0.0003399762,0.00009019251,0.00001673438,0.000005597588,0.00112653],"genre_scores_gemma":[0.9933282,0.001142553,0.0004125992,0.0009681408,0.001674401,0.000001059238,6.524224e-7,0.00001657089,0.002455788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1341582,"threshold_uncertainty_score":0.9997274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1653349233262437,"score_gpt":0.2836431729102797,"score_spread":0.118308249584036,"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."}}