{"id":"W1550698612","doi":"10.22004/ag.econ.273918","title":"Precautionary Savings and Wealth Inequality: a Global Sensitivity Analysis","year":2011,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Economics; Precautionary savings; Econometrics; Inequality; Depreciation (economics); Robustness (evolution); Index (typography); Consumption (sociology); Ambiguity aversion; Economic inequality; Microeconomics; Monetary economics; Capital formation; Ambiguity; Mathematics; Profit (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":[0.006763297,0.001332971,0.001603959,0.002852034,0.0004267895,0.001428143,0.0009072605,0.001077887,0.005755268],"category_scores_gemma":[0.01428004,0.0003378048,0.003965601,0.001800021,0.000877758,0.001260623,0.002414542,0.001709506,0.0001812986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001237674,"about_ca_system_score_gemma":0.0004943016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005644705,"about_ca_topic_score_gemma":0.00225366,"domain_scores_codex":[0.9978378,0.00154799,0.00004974415,0.0001810091,0.0001716351,0.0002117675],"domain_scores_gemma":[0.9879853,0.01034264,0.0004798147,0.0008153209,0.0003071748,0.00006969093],"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":[0.000225468,0.0001044681,0.004334608,0.0002555988,0.0008973074,0.0003303511,0.0001187101,0.9601555,0.0009859399,0.02165946,0.001346302,0.009586358],"study_design_scores_gemma":[0.0001672882,0.0007826258,0.01267183,0.0001996951,0.001177053,0.0003385228,0.0006393538,0.907781,0.003718841,0.06590638,0.006455888,0.0001614867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7147481,0.003604661,0.235089,0.001877364,0.0002099001,0.001026874,0.00536843,0.0004051784,0.03767039],"genre_scores_gemma":[0.9819702,0.0009890287,0.01340068,0.0002050763,0.00003311121,0.0003118535,0.0009705611,0.00004789497,0.002071665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006763297,"threshold_uncertainty_score":0.03576815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03730257765776632,"score_gpt":0.2461524501943318,"score_spread":0.2088498725365655,"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."}}