{"id":"W4383065974","doi":"10.1016/j.jeconbus.2023.106129","title":"Portfolio Choice with Endogenous Donations - Modeling University Endowments","year":2023,"lang":"en","type":"article","venue":"Journal of Economics and Business","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Economics; Endowment; Donation; Portfolio; Investment (military); Endowment effect; Microeconomics; Asset (computer security); Substitution (logic); Asset allocation; Financial 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":[0.004300104,0.0009710153,0.002099362,0.001240441,0.0007733831,0.003590624,0.002062583,0.003789731,0.007894912],"category_scores_gemma":[0.01844688,0.001235777,0.00170297,0.001912876,0.00180566,0.0036561,0.002052271,0.002362294,0.0005965309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002579363,"about_ca_system_score_gemma":0.001495715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0218504,"about_ca_topic_score_gemma":0.01217021,"domain_scores_codex":[0.9987203,0.0007587511,0.00004338687,0.00017833,0.00005483077,0.0002444577],"domain_scores_gemma":[0.9867184,0.00904968,0.001614657,0.0005794085,0.0005076904,0.001530231],"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":[0.0002372649,0.0002819319,0.006259158,0.000038832,0.0000925576,0.0001669007,0.00006655569,0.9605168,0.0001591975,0.02756252,0.0008522908,0.003766129],"study_design_scores_gemma":[0.00006004444,0.00005271574,0.0009026663,0.000009180336,0.00003323475,0.00002061175,0.00005263165,0.9896023,0.00006236968,0.008983162,0.0002048,0.00001633863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9193333,0.001093233,0.06556341,0.002948126,0.00015579,0.00009914684,0.0006161769,0.0001094446,0.01008131],"genre_scores_gemma":[0.984792,0.0003736859,0.003728083,0.0001034106,0.00005930143,0.000048471,0.0001394559,0.00002514863,0.01073055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0218504,"threshold_uncertainty_score":0.04344642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06361212293805013,"score_gpt":0.1932091097168794,"score_spread":0.1295969867788292,"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."}}