{"id":"W2605861879","doi":"","title":"Accounting for productivity growth in a small open economy: Sector-specific technological change and relative prices of trade","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Slowdown; Productivity; Economics; Total factor productivity; Commodity; Boom; Relative price; Growth accounting; Terms of trade; Small open economy; Multifactor productivity; International economics; International trade; Monetary economics; Macroeconomics; Exchange rate; 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":[0.001120735,0.0006478791,0.0006110677,0.00163099,0.0004593904,0.002393628,0.0007193997,0.0006059807,0.00122528],"category_scores_gemma":[0.005087494,0.0002564868,0.0009554374,0.002331933,0.001230624,0.002072145,0.001310318,0.0009569465,0.0001923181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002595237,"about_ca_system_score_gemma":0.001683968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05018289,"about_ca_topic_score_gemma":0.03388112,"domain_scores_codex":[0.9996424,0.00005870286,0.00002303751,0.00008328279,0.00008383438,0.0001087004],"domain_scores_gemma":[0.9975705,0.0009610457,0.0007786668,0.0002646099,0.0002492479,0.0001759018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000262751,0.0001436728,0.2107264,0.0002120715,0.0003160393,0.00123223,0.000805673,0.6335899,0.007607958,0.09955253,0.002076341,0.04347447],"study_design_scores_gemma":[0.00004025966,0.0001144742,0.08895477,0.00003994907,0.0001526754,0.0001471074,0.0005013281,0.7792553,0.002434383,0.1240038,0.004300932,0.00005520774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9331818,0.0008877716,0.05719134,0.0009098799,0.00003540019,0.00004208004,0.000686948,0.0001287468,0.006936083],"genre_scores_gemma":[0.9971801,0.0003521769,0.001388744,0.00001632845,0.00001654168,0.00001202181,0.0001640527,0.000009522141,0.000860519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05018289,"threshold_uncertainty_score":0.09978157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1825272978006753,"score_gpt":0.3111868989876302,"score_spread":0.1286596011869549,"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."}}