{"id":"W3125079103","doi":"10.1111/rssa.12213","title":"Heads I win; Tails you lose: Asymmetry in Exchange rate Pass-through into Import Prices","year":2016,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series A (Statistics in Society)","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Exchange-rate pass-through; Monetary economics; Currency; Quarter (Canadian coin); Exchange rate; Liberalization; Welfare; Market power; International economics; Microeconomics; Market economy","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":[0.001736191,0.0002723327,0.0004985257,0.001165781,0.0001775558,0.001512402,0.0002818774,0.000341115,0.003168517],"category_scores_gemma":[0.009376264,0.0001531186,0.0006653839,0.001016858,0.0005752035,0.001045378,0.0007520438,0.0008377898,0.0005804918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004466586,"about_ca_system_score_gemma":0.0003095858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007726335,"about_ca_topic_score_gemma":0.005400844,"domain_scores_codex":[0.9996213,0.00009389442,0.00003549747,0.0000706342,0.00007588776,0.0001027647],"domain_scores_gemma":[0.9908444,0.00430839,0.003358491,0.000677739,0.0005374685,0.0002735101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005998892,0.00004465085,0.9567258,0.0000461795,0.0003879016,0.0003453688,0.0004799533,0.02077265,0.0007079817,0.003088064,0.001825295,0.01497628],"study_design_scores_gemma":[0.00001988017,0.0001129775,0.9761541,0.00002936519,0.0001276293,0.0002231447,0.0005225681,0.01771047,0.0007458969,0.002711585,0.001614846,0.00002736296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967662,0.0001331929,0.0005270977,0.0001230878,0.000003984061,0.000002980687,0.0007842543,0.00001946743,0.001639696],"genre_scores_gemma":[0.9981652,0.00005604866,0.00009331877,0.00001206985,0.00000662915,0.000001964846,0.0009789367,0.000007463497,0.0006784208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007726335,"threshold_uncertainty_score":0.01536274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03144487830035606,"score_gpt":0.2492986596692874,"score_spread":0.2178537813689313,"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."}}