{"id":"W3125021854","doi":"10.3386/w19684","title":"Maximum likelihood estimation of the equity premium","year":2013,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Maximum likelihood; Econometrics; Estimation; Equity (law); Equity premium puzzle; Economics; Mathematics; Statistics; Risk premium; Political science; Management","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":[0.00471916,0.0008454391,0.001267521,0.001552356,0.0004450812,0.001737509,0.001247608,0.00134321,0.003872456],"category_scores_gemma":[0.0430865,0.0007383455,0.0006785396,0.001393944,0.0006870961,0.001644578,0.001393335,0.001965293,0.001367709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000710779,"about_ca_system_score_gemma":0.001514642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003292485,"about_ca_topic_score_gemma":0.002930497,"domain_scores_codex":[0.9977984,0.001515361,0.00008259464,0.0002191206,0.0002771315,0.0001073995],"domain_scores_gemma":[0.9810416,0.01659029,0.0007666126,0.0008737075,0.0005746673,0.0001531719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004005299,0.0002850489,0.01683355,0.0002689706,0.0003151699,0.0003231331,0.0002417812,0.7051052,0.004228479,0.06963285,0.006388686,0.1959766],"study_design_scores_gemma":[0.0000416816,0.00001946599,0.002036192,0.00001916945,0.00001487925,0.00005188259,0.00001599916,0.965059,0.0009319395,0.03114844,0.0006424627,0.00001879195],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03863515,0.0003936139,0.9579991,0.0004926782,0.00002314454,0.00002934552,0.0002773503,0.0005130511,0.001636567],"genre_scores_gemma":[0.6553901,0.0006376868,0.335707,0.0001716373,0.0001869213,0.0001975638,0.002483528,0.0002710405,0.004954438],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00471916,"threshold_uncertainty_score":0.02495754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.252481750034714,"score_gpt":0.4426915985481568,"score_spread":0.1902098485134429,"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."}}