{"id":"W2141671486","doi":"","title":"SPENDING RETIREMENT ON PLANET VULCAN: The Impact of Longevity Risk Aversion on Optimal Withdrawal Rates","year":2010,"lang":"en","type":"article","venue":"","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Treasury; Risk aversion (psychology); Economics; Consumption (sociology); Longevity risk; Inflation (cosmology); Investment (military); Order (exchange); Bond; Longevity; Financial market; Expected utility hypothesis; Actuarial science; Monetary economics; Financial economics; Pension; Finance","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":[0.001718081,0.0002849428,0.0003491942,0.0002848955,0.0003026313,0.001059777,0.0003491016,0.0005980531,0.002243713],"category_scores_gemma":[0.006398226,0.0002575667,0.0003207729,0.0001873024,0.0005281231,0.0006868698,0.0006879374,0.0008374625,0.0001622488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008777492,"about_ca_system_score_gemma":0.0006540633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002492377,"about_ca_topic_score_gemma":0.002697753,"domain_scores_codex":[0.9996775,0.0001693175,0.00001391774,0.0000396459,0.0000236282,0.00007593939],"domain_scores_gemma":[0.9979826,0.001138042,0.0004479758,0.0001154672,0.0001004576,0.0002155393],"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":[0.002173055,0.0006781372,0.08399457,0.0002489824,0.0002861511,0.0008269517,0.00108721,0.4973187,0.01272465,0.3086542,0.002274774,0.0897326],"study_design_scores_gemma":[0.0001681433,0.0009001053,0.07185981,0.0001493751,0.0001921737,0.0004299479,0.001173534,0.7245989,0.003558069,0.1932725,0.003606421,0.00009101871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718574,0.0004140314,0.01962068,0.0009059107,0.00001926959,0.00001663158,0.00009350557,0.0000249397,0.007047604],"genre_scores_gemma":[0.9970315,0.0001763696,0.00164046,0.00004756028,0.000007660264,0.000006985593,0.00001987948,0.000004877665,0.001064833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002492377,"threshold_uncertainty_score":0.009086132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01655915193533393,"score_gpt":0.3334634341696618,"score_spread":0.3169042822343279,"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."}}