{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008421307,0.0008534879,0.001640561,0.001597817,0.0004642533,0.002649755,0.003446775,0.002651461,0.0127196],"category_scores_gemma":[0.02788418,0.0008180416,0.001929478,0.00420792,0.0009899352,0.002919069,0.002172785,0.003171979,0.002660791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498559,"about_ca_system_score_gemma":0.001234277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01102312,"about_ca_topic_score_gemma":0.005143619,"domain_scores_codex":[0.9942129,0.003798696,0.0001825055,0.0008663473,0.0005689534,0.000370498],"domain_scores_gemma":[0.9910257,0.005716132,0.001198711,0.001362371,0.000529732,0.0001672218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005619388,0.00009412103,0.008009101,0.0002349714,0.0002791836,0.0003160761,0.0002245347,0.3339024,0.0002931128,0.5757292,0.01144215,0.06941902],"study_design_scores_gemma":[0.00004388702,0.00004406345,0.001961299,0.00005821149,0.00006185097,0.00008109968,0.00004578022,0.6883341,0.0001737982,0.293689,0.01546776,0.00003920311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004953369,0.0007186811,0.9870635,0.001236706,0.0001208563,0.00009346558,0.001371795,0.0004214055,0.004020131],"genre_scores_gemma":[0.5135044,0.005077235,0.4451596,0.002244365,0.001172099,0.001241172,0.004956488,0.0004102602,0.02623442],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0127196,"threshold_uncertainty_score":0.04453665,"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."}}