{"id":"W1899706543","doi":"","title":"Determinants of Public Debt for middle income and high income group countries using Panel Data regression","year":2011,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Fiscal Policies and Political Economy","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Debt; External debt; Panel data; Population; Debt-to-GDP ratio; Government debt; Debt ratio; Real gross domestic product; Internal debt; Monetary economics; Demographic economics; Macroeconomics; Econometrics; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008892249,0.0004780414,0.001507549,0.0005702188,0.0003894829,0.00005210321,0.002238937,0.0004368933,0.0002245002],"category_scores_gemma":[0.000276501,0.000582781,0.000345263,0.0001184867,0.00144094,0.0004342272,0.005466408,0.0005753891,0.00001088365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001820414,"about_ca_system_score_gemma":0.0001883744,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02482993,"about_ca_topic_score_gemma":0.003317061,"domain_scores_codex":[0.9970951,0.0001210699,0.0009390624,0.001053706,0.0001177709,0.0006732914],"domain_scores_gemma":[0.9958943,0.0004654193,0.001330312,0.001830247,0.0001313404,0.0003484249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001767994,0.001214529,0.4511413,0.0126205,0.001647713,0.0000915124,0.02377536,0.00005978054,0.00006889088,0.4974973,0.0007120628,0.009403016],"study_design_scores_gemma":[0.006697882,0.00121425,0.3966222,0.004614755,0.0005596092,0.00007648123,0.006931711,0.1371761,0.00008792917,0.3755464,0.06698891,0.003483886],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716992,0.002160648,0.001295746,0.0002617726,0.000305895,0.0006762511,0.018571,0.00003511759,0.004994353],"genre_scores_gemma":[0.9794833,0.002521965,0.0164309,0.00007071725,0.00008978849,0.000002388754,0.0006152416,0.00006384062,0.0007218638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1371163,"threshold_uncertainty_score":0.9996623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1436304580284514,"score_gpt":0.2540740951465527,"score_spread":0.1104436371181013,"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."}}