{"id":"W4387536769","doi":"10.1007/s10797-023-09801-0","title":"Everything’s not lost: revisiting TSTSLS estimates of intergenerational mobility in developing countries","year":2023,"lang":"en","type":"article","venue":"International Tax and Public Finance","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Econometrics; Estimator; Earnings; Rank (graph theory); Rank correlation; Ordinary least squares; Statistics; Mathematics; Correlation; Variance (accounting); Economics","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":[0.0031062,0.0004203768,0.0004260675,0.002726743,0.0004966927,0.001778279,0.0009662686,0.0003573164,0.001893466],"category_scores_gemma":[0.0144713,0.0003350584,0.0008552289,0.008026377,0.001020902,0.002171763,0.002042847,0.001293016,0.0003606186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696448,"about_ca_system_score_gemma":0.002332033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1593081,"about_ca_topic_score_gemma":0.1012138,"domain_scores_codex":[0.9989135,0.0004739235,0.0001190087,0.000117677,0.0002381701,0.0001378077],"domain_scores_gemma":[0.9952918,0.001677099,0.001110781,0.0005440004,0.001232844,0.0001434574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002184827,0.00005002376,0.7631148,0.0006775082,0.001498225,0.0005036989,0.004609317,0.05635606,0.0003082661,0.05651335,0.03079613,0.08535416],"study_design_scores_gemma":[0.0000639092,0.0001252544,0.8153799,0.001922691,0.0009736039,0.0002384456,0.01450133,0.02820242,0.002321413,0.02163306,0.1145496,0.0000883388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9174682,0.0102357,0.01325248,0.01478208,0.0004153405,0.0000513184,0.02135733,0.0001139563,0.02232358],"genre_scores_gemma":[0.9902919,0.002173527,0.001810845,0.0004097837,0.00007896024,0.00003609437,0.003845685,0.00003234523,0.001320716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1593081,"threshold_uncertainty_score":0.3167616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.076235050286776,"score_gpt":0.366778130705958,"score_spread":0.290543080419182,"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."}}