{"id":"W2772340637","doi":"10.3982/qe1851","title":"Permanent‐income inequality","year":2022,"lang":"en","type":"preprint","venue":"Quantitative Economics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economics; Permanent income hypothesis; Human capital; Market liquidity; Inequality; Consumption (sociology); Income shares; Economic inequality; Distribution (mathematics); Econometrics; Discounting; Income distribution; Labour economics; Wealth elasticity of demand; Income inequality metrics; Autonomous consumption; National wealth; Monetary economics; Macroeconomics; Finance; Debt","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000876973,0.0004175075,0.0002765442,0.001652105,0.0005081354,0.002282637,0.0004544773,0.0003415802,0.0105876],"category_scores_gemma":[0.005493777,0.00009789158,0.000342347,0.002229844,0.001178829,0.002361956,0.002257723,0.0008811304,0.0007123472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001098573,"about_ca_system_score_gemma":0.0004249992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002589082,"about_ca_topic_score_gemma":0.002261319,"domain_scores_codex":[0.9991014,0.0001769694,0.00004814357,0.0002212588,0.0002822194,0.0001700407],"domain_scores_gemma":[0.9981607,0.0005292575,0.0006881457,0.0002377259,0.0002602888,0.0001240443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004270624,0.00006729511,0.04728937,0.00009323899,0.00009307313,0.0001495179,0.0006286571,0.006821,0.0003482059,0.8780555,0.00683337,0.05957809],"study_design_scores_gemma":[0.000009783313,0.000113417,0.1026537,0.0003334353,0.00009301244,0.0004424905,0.00109794,0.02314205,0.0009961013,0.8142393,0.05683642,0.00004237192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4527106,0.005298378,0.196443,0.005473925,0.0004325852,0.0001264643,0.009277298,0.0003149339,0.3299229],"genre_scores_gemma":[0.9884,0.001213775,0.00337048,0.0001338569,0.0001397463,0.00005065343,0.000997384,0.00002722341,0.005666994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0105876,"threshold_uncertainty_score":0.03541905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05387522873207889,"score_gpt":0.2928536130704895,"score_spread":0.2389783843384106,"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."}}