{"id":"W4410971815","doi":"10.1080/07474938.2025.2503355","title":"Short panel data quantile regression model with flexible correlated effects","year":2025,"lang":"en","type":"article","venue":"Econometric Reviews","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Quantile regression; Econometrics; Panel data; Statistics; Regression analysis; Regression; Quantile; Computer science; Mathematics","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":[0.004544789,0.0008283021,0.001703483,0.0009893234,0.0003174546,0.001809842,0.003702137,0.001889381,0.007308702],"category_scores_gemma":[0.008982533,0.000738138,0.001802589,0.002937278,0.0008237557,0.001884441,0.001123708,0.002612151,0.001792313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147106,"about_ca_system_score_gemma":0.001283621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01430517,"about_ca_topic_score_gemma":0.008460287,"domain_scores_codex":[0.9977793,0.001101666,0.00008833883,0.0005721992,0.0002196878,0.0002387235],"domain_scores_gemma":[0.9959114,0.002315511,0.000567396,0.0006154128,0.0004762064,0.000114189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001398473,0.00007461637,0.00785503,0.0002050288,0.0003978452,0.0003430524,0.0001968589,0.586163,0.0008721504,0.3422882,0.009699431,0.05176498],"study_design_scores_gemma":[0.00002724727,0.00002756974,0.001729421,0.00003028403,0.0000636984,0.00004425744,0.00001935335,0.9221046,0.000173545,0.07062589,0.005124686,0.00002940064],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008940781,0.0005377925,0.9851805,0.0008657313,0.00006244356,0.00006834096,0.002176025,0.000416726,0.001751702],"genre_scores_gemma":[0.6807725,0.003227907,0.2724094,0.001479314,0.0004791301,0.001171763,0.01012032,0.0004040537,0.0299355],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01430517,"threshold_uncertainty_score":0.02844381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1648269624440376,"score_gpt":0.3075760799773656,"score_spread":0.142749117533328,"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."}}