{"id":"W1839122325","doi":"","title":"In Search of Intergenerational Credit Constraints Among Canadian Men: Quantile Versus Mean Regression Tests for Binding Credit Constraints","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Quantile regression; Econometrics; Economics; Quantile; Regression; Function (biology); Test (biology); Conditional expectation; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004826912,0.0002772606,0.0005294445,0.001079528,0.0006324938,0.0001450431,0.0006588663,0.0004822944,0.0008216752],"category_scores_gemma":[0.003508066,0.0003063033,0.0001805283,0.0002665978,0.002148516,0.0002252335,0.0003011812,0.0009178363,0.000008550912],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00285519,"about_ca_system_score_gemma":0.007556269,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06814573,"about_ca_topic_score_gemma":0.6126304,"domain_scores_codex":[0.996145,0.0005636507,0.0009544624,0.0007562018,0.0006192802,0.0009614743],"domain_scores_gemma":[0.9964225,0.001788944,0.0002321292,0.0003210135,0.0007889667,0.0004465031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.002330745,0.002115867,0.3413805,0.001233019,0.001743316,0.000187782,0.09092605,0.03701375,0.001943913,0.3692736,0.0683213,0.08353017],"study_design_scores_gemma":[0.01683202,0.001939009,0.09520655,0.009298407,0.0001731908,0.00003278944,0.58143,0.06216866,0.006273749,0.04809922,0.1705064,0.008040037],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.872232,0.00006891491,0.000008010622,0.005260689,0.00364772,0.001360658,0.0009870966,0.00001591767,0.116419],"genre_scores_gemma":[0.9927179,0.001272442,0.0007142255,0.00005629181,0.001484184,0.0003648065,0.0004951292,0.00002998274,0.002864989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5444846,"threshold_uncertainty_score":0.9999389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1414864656065769,"score_gpt":0.4224606894258122,"score_spread":0.2809742238192353,"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."}}