{"id":"W4307964387","doi":"10.3390/jrfm15100486","title":"Revisiting the Long-Run Dynamic Linkage between Dividends and Share Price with Advanced Panel Econometrics Techniques","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Panel data; Dividend; Economics; Unit root; Econometrics; Share price; Linkage (software); Financial economics; Stock exchange; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002190429,0.0004004917,0.0005718525,0.0009886689,0.0002862571,0.002144989,0.0009503805,0.00081299,0.003348116],"category_scores_gemma":[0.009284806,0.0004284199,0.0008324459,0.001903822,0.0004583957,0.001761322,0.001004963,0.001724533,0.0005725823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005309547,"about_ca_system_score_gemma":0.001121606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01911236,"about_ca_topic_score_gemma":0.01500642,"domain_scores_codex":[0.9992071,0.000344984,0.00004918922,0.0002018769,0.0001205365,0.00007636253],"domain_scores_gemma":[0.995159,0.003391576,0.00075165,0.0004419399,0.0001989935,0.00005694804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00006702293,0.0001969021,0.1447399,0.0003017588,0.001141619,0.001078805,0.0007691957,0.5400113,0.003082704,0.1646231,0.004860209,0.1391274],"study_design_scores_gemma":[0.0000106672,0.0000420055,0.0313509,0.00003844875,0.00013693,0.00009324589,0.0002314859,0.9131619,0.0005394057,0.04936433,0.004994696,0.00003595896],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.285281,0.002107373,0.6983173,0.002288935,0.0001253601,0.00007124992,0.002136768,0.000514135,0.009157876],"genre_scores_gemma":[0.9517194,0.001469243,0.03778304,0.0003042604,0.000157686,0.00007059168,0.001839762,0.00006507589,0.006590845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01911236,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01570425576476416,"score_gpt":0.198407474983677,"score_spread":0.1827032192189129,"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."}}