{"id":"W2406157947","doi":"10.2139/ssrn.2860973","title":"Solution and Estimation of Dynamic Discrete Choice Structural Models Using Euler Equations","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Euler equations; Estimation; Applied mathematics; Discrete choice; Euler method; Mathematics; Euler's formula; Econometrics; Backward Euler method; Mathematical optimization; Computer science; Economics; Mathematical analysis","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":[0.002537756,0.000705837,0.001768922,0.001126586,0.0005394082,0.001688751,0.001572133,0.002231075,0.008204395],"category_scores_gemma":[0.01881476,0.001784298,0.001393013,0.001081623,0.001129906,0.00167613,0.001630004,0.002865772,0.0009595791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001271374,"about_ca_system_score_gemma":0.003795755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02448305,"about_ca_topic_score_gemma":0.01687762,"domain_scores_codex":[0.998811,0.0007419173,0.00005986202,0.0001825696,0.00009307561,0.0001115592],"domain_scores_gemma":[0.9770915,0.02069418,0.001015764,0.0005079516,0.0004461901,0.0002443683],"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":[0.00008599248,0.0001259176,0.003604035,0.00007672306,0.0000732121,0.00006674034,0.0001096026,0.9332155,0.0001524974,0.05187374,0.0007808628,0.009835112],"study_design_scores_gemma":[0.00005509092,0.00002309952,0.0005199966,0.00001131826,0.00001805254,0.000007499016,0.00003784828,0.9770258,0.0001135271,0.02177526,0.0003994614,0.00001300073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.152484,0.0003936881,0.8390047,0.001707619,0.00009505245,0.0001914064,0.001376688,0.0003813104,0.004365523],"genre_scores_gemma":[0.8348061,0.0005947975,0.1542416,0.0001384974,0.00008939129,0.0005236795,0.002092686,0.00009562467,0.007417544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02448305,"threshold_uncertainty_score":0.04868108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903858339973832,"score_gpt":0.265406802163108,"score_spread":0.2463682187633696,"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."}}