{"id":"W3122047753","doi":"10.3386/w21034","title":"Quantile Regression with Panel Data","year":2015,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Quantile regression; Econometrics; Quantile; Panel data; Statistics; Cross-sectional regression; Regression; Regression analysis; Mathematics; Polynomial regression","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005651581,0.0002453013,0.0008162588,0.001059968,0.0001091688,0.000155786,0.002224128,0.0003556767,0.001242589],"category_scores_gemma":[0.0006941645,0.0002310223,0.0001101213,0.0002563522,0.0002579034,0.0003593557,0.002176163,0.0008366716,0.0008770103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004890118,"about_ca_system_score_gemma":0.0008127617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00905301,"about_ca_topic_score_gemma":0.0007094312,"domain_scores_codex":[0.9970334,0.00008876878,0.0009731955,0.001196036,0.0003290921,0.000379533],"domain_scores_gemma":[0.9965136,0.0003457969,0.0007225905,0.001718319,0.0005316173,0.0001680428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002994354,0.0002633929,0.02283795,0.0002645807,0.0007740055,0.000009826206,0.0002241794,0.007922488,0.00001080352,0.7843573,0.1819901,0.001045899],"study_design_scores_gemma":[0.0006444856,0.0001062455,0.00123471,0.0001357517,0.00001886062,0.000004862325,0.00008622417,0.1009738,0.00003393925,0.8732848,0.02306664,0.0004096543],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09942233,0.01328481,0.001460715,0.007640444,0.002002964,0.002220959,0.03783694,0.0001197988,0.8360111],"genre_scores_gemma":[0.9824522,0.0007049451,0.001301226,0.00003258288,0.0006168554,0.00005745044,0.0123626,0.00004586216,0.002426351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8830298,"threshold_uncertainty_score":0.9999009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6728361847079672,"score_gpt":0.4953528261761317,"score_spread":0.1774833585318355,"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."}}