{"id":"W4379260567","doi":"10.5267/j.dsl.2023.4.001","title":"The effect of inflation on income inequality: Evidence from a non-linear dynamic panel data analysis in indonesia","year":2023,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Andalas","keywords":"Economics; Generalized method of moments; Inflation (cosmology); Economic inequality; Panel data; Inflation targeting; Inequality; Monetary policy; Econometrics; Consumption (sociology); Income distribution; Poverty; Macroeconomics; Monetary economics; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00464973,0.0001278748,0.0002728469,0.001041235,0.0003327759,0.0002061491,0.001329997,0.00002950003,0.000002431661],"category_scores_gemma":[0.001903641,0.00007965221,0.00005763905,0.008241339,0.0002671914,0.001392973,0.0008309734,0.0001218069,0.0001198973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004133242,"about_ca_system_score_gemma":0.00001336911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006939888,"about_ca_topic_score_gemma":0.0003692491,"domain_scores_codex":[0.9978989,0.00002796618,0.0004000383,0.0005027697,0.0009028317,0.0002675207],"domain_scores_gemma":[0.9969622,0.001784772,0.0002638952,0.0009274021,0.00005858858,0.00000308292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001194844,0.000007044643,0.9178828,0.00001935792,0.00002710647,0.00001371468,0.0001429452,0.009650318,0.005619746,0.00005810825,0.0003051888,0.06615417],"study_design_scores_gemma":[0.0001874811,0.00000941319,0.7780464,0.0001709212,0.00004008896,3.56204e-8,0.00002158834,0.2210713,0.00006252056,0.0002737339,0.00003973096,0.00007671471],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946642,0.00001541658,0.002475003,0.002372743,0.0002583734,0.0001702713,0.00000458156,0.00002952355,0.000009905483],"genre_scores_gemma":[0.9991775,0.00002646923,0.00009528442,0.000582756,0.0000761989,0.000009581706,0.00002357828,0.00000568419,0.000002977251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.211421,"threshold_uncertainty_score":0.395969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04711114799038327,"score_gpt":0.326788718170011,"score_spread":0.2796775701796277,"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."}}