{"id":"W4295064860","doi":"10.1111/roie.12634","title":"Testing the validity of purchasing power parity for China: Evidence from the Fourier quantile unit root test","year":2022,"lang":"en","type":"article","venue":"Review of International Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China; Ministry of Education of the People's Republic of China; State of New Jersey Department of Education","keywords":"Purchasing power parity; Economics; Unit root; Quantile; Econometrics; Price index; Unit root test; China; Relative purchasing power parity; Financial economics; Monetary economics; Cointegration; Geography; Exchange rate","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00782351,0.0003045607,0.0005945783,0.001590845,0.0004511829,0.00108238,0.0009518815,0.0005790016,0.005428099],"category_scores_gemma":[0.04738104,0.0001317648,0.0005439558,0.003057305,0.002246117,0.001725757,0.0008614673,0.001041408,0.0004073404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005114675,"about_ca_system_score_gemma":0.0008533692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005096679,"about_ca_topic_score_gemma":0.001492805,"domain_scores_codex":[0.9972349,0.00113667,0.0001859122,0.0005354867,0.0007084613,0.0001986193],"domain_scores_gemma":[0.9298733,0.04645452,0.01178171,0.004911121,0.005830985,0.001148221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000450385,0.0001001911,0.8699762,0.0002208136,0.0006981543,0.001100571,0.0006761116,0.007016964,0.001105909,0.0363099,0.002758461,0.07958646],"study_design_scores_gemma":[0.0001834074,0.0004549627,0.8846998,0.000178822,0.0005687885,0.0005042417,0.001635593,0.06023451,0.003017958,0.04274021,0.005703189,0.00007856714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776956,0.001335254,0.009972746,0.001396711,0.0000842778,0.00002105199,0.0004735511,0.00004006271,0.008980686],"genre_scores_gemma":[0.9990026,0.0001944645,0.0003780738,0.00005053861,0.00003217101,0.000005527798,0.0001942395,0.000004237187,0.0001381966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00782351,"threshold_uncertainty_score":0.04137516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1038000927601001,"score_gpt":0.2951873710516373,"score_spread":0.1913872782915372,"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."}}