{"id":"W7067455955","doi":"","title":"More efficient estimation of multiplicative panel data models in the presence of serial correlation","year":2023,"lang":"en","type":"other","venue":"Econstor (Econstor)","topic":"Protist diversity and phylogeny","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Estimator; Moment (physics); Multiplicative function; Consistent estimator; Efficient estimator; Panel data; Generalized method of moments; Invariant estimator; Instrumental variable","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003176324,0.0001700702,0.0002525625,0.0001061078,0.00003256359,0.000006346301,0.0006872677,0.0003074461,0.00006078503],"category_scores_gemma":[0.0001686898,0.0001557877,0.00006534595,0.0001081317,0.0003176267,0.000006750219,0.0002674139,0.0001288796,0.00001727311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001932929,"about_ca_system_score_gemma":0.0001482784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003644183,"about_ca_topic_score_gemma":0.0003918158,"domain_scores_codex":[0.998908,0.0001067967,0.000280074,0.000414835,0.0001500704,0.0001402359],"domain_scores_gemma":[0.9985503,0.00007994426,0.000412609,0.0008886959,0.00003993203,0.00002850353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00087613,0.001432181,0.3862424,0.001178185,0.001149953,0.00002736954,0.006030802,0.2663546,0.01280943,0.003490778,0.3141009,0.006307259],"study_design_scores_gemma":[0.01030827,0.001205879,0.2744597,0.002635214,0.0008846396,0.0001030773,0.003936274,0.6531429,0.02053672,0.001048391,0.0280256,0.003713272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9231248,0.00217914,0.01305332,0.0001171958,0.001749756,0.002935352,0.008928078,0.00008388387,0.04782846],"genre_scores_gemma":[0.9906698,0.0001780131,0.001184858,0.00003018119,0.0001848002,0.00004223971,0.001415167,0.000122447,0.006172439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3867883,"threshold_uncertainty_score":0.6352839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03222146607166385,"score_gpt":0.264222472086746,"score_spread":0.2320010060150822,"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."}}