{"id":"W3124509488","doi":"","title":"How Optimal Nonlinear Income Taxes Change When the Distribution of the Population Changes","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University","funders":"","keywords":"Economics; Consumption (sociology); Sign (mathematics); Econometrics; Nonlinear system; Population; Optimal tax; Microeconomics; Tax rate; Income tax; Marginal utility; Distribution (mathematics); Mathematical economics; Mathematics; Public economics; Monetary economics","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":[0.001814501,0.0002915287,0.0005262779,0.0003976591,0.0003975381,0.002071125,0.0006474035,0.001092256,0.004393438],"category_scores_gemma":[0.01433787,0.0004035854,0.0005047363,0.0003482696,0.001330546,0.002860146,0.000709357,0.001026977,0.0002942145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001437252,"about_ca_system_score_gemma":0.0008844904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005234926,"about_ca_topic_score_gemma":0.004243428,"domain_scores_codex":[0.9995559,0.0002265153,0.00001184543,0.00006692248,0.00003711419,0.0001017986],"domain_scores_gemma":[0.997367,0.001794277,0.0003901584,0.0001155274,0.0001598721,0.0001731278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002880499,0.0001823715,0.008081497,0.0001358098,0.0000738157,0.0002513273,0.000398996,0.4624568,0.003143004,0.4925485,0.003872012,0.02856785],"study_design_scores_gemma":[0.00006426495,0.00006157257,0.003185985,0.00003319412,0.00002762196,0.0000833664,0.000663329,0.6017889,0.001028562,0.3915592,0.001467109,0.00003682382],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8072916,0.0003353551,0.160077,0.005253797,0.000138745,0.00005557446,0.0002427798,0.00006769416,0.02653749],"genre_scores_gemma":[0.9825309,0.0004179897,0.01110778,0.0002372903,0.00002593708,0.00004136772,0.00006446618,0.00004128516,0.005533021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005234926,"threshold_uncertainty_score":0.01469749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06535900860849157,"score_gpt":0.2823588759432981,"score_spread":0.2169998673348065,"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."}}