{"id":"W4388335573","doi":"10.1016/j.jeca.2023.e00341","title":"Does income inequality respond asymmetrically to financial development? Evidence from India using asymmetric cointegration and causality tests","year":2023,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economics; Unbanked; Economic inequality; Cointegration; Inequality; Financial inclusion; Causality (physics); Finance; Macroeconomics; Econometrics; Financial services","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01454641,0.0002334565,0.0005889021,0.001165237,0.0009528354,0.0002749162,0.0007020943,0.0001823405,0.00004349312],"category_scores_gemma":[0.01936911,0.0001439003,0.0001073977,0.002461996,0.0003289195,0.001114329,0.0002695383,0.0004041608,0.00006412084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009645028,"about_ca_system_score_gemma":0.001623798,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00797476,"about_ca_topic_score_gemma":0.006029382,"domain_scores_codex":[0.9960332,0.001313082,0.00130518,0.0002729051,0.0005949496,0.0004806666],"domain_scores_gemma":[0.9918794,0.006192543,0.0009696685,0.0002995949,0.0003613322,0.0002974484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001170224,0.00009526147,0.9037429,0.00005402891,0.0001973591,0.00002249584,0.03997722,0.0001912208,0.0004395414,0.007366606,0.002943482,0.04379966],"study_design_scores_gemma":[0.0004209276,0.0002095134,0.9780921,0.0001643656,0.00006627964,0.000003930018,0.004296481,0.00009146238,0.001670302,0.008398632,0.006258138,0.0003278909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941418,0.0003268718,0.001357062,0.001913053,0.001427631,0.0002736065,0.00005040792,0.0000382346,0.0004713286],"genre_scores_gemma":[0.99626,0.0005156672,0.001895209,0.000321417,0.0007908402,0.000002827296,0.000003260863,0.000016266,0.0001944882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07434917,"threshold_uncertainty_score":0.9986312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06891260426575047,"score_gpt":0.3499958235202194,"score_spread":0.2810832192544689,"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."}}