{"id":"W3123630768","doi":"10.22004/ag.econ.273611","title":"Wild Bootstrap Tests for IV Regression","year":2008,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Heteroscedasticity; Econometrics; Confidence interval; Regression; Statistics; Linear regression; Mathematics; Regression analysis; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007294528,0.0003075243,0.0007578021,0.0002359908,0.0002667526,0.00002250612,0.000766592,0.000449964,0.0007256881],"category_scores_gemma":[0.001068109,0.0003304193,0.000308073,0.0001450068,0.0004450116,0.0001068092,0.0007540928,0.0006742885,0.00004331256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009079056,"about_ca_system_score_gemma":0.0002742916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003886517,"about_ca_topic_score_gemma":0.0001362953,"domain_scores_codex":[0.9979006,0.0002477267,0.0002947052,0.0006190437,0.0004795771,0.0004583403],"domain_scores_gemma":[0.9955893,0.002663385,0.0003247508,0.0007447349,0.0004375402,0.0002403368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001383028,0.001930532,0.005432934,0.01140023,0.001046713,0.0009727138,0.01383751,0.00005693689,0.00598078,0.2255,0.3384044,0.3940542],"study_design_scores_gemma":[0.007543155,0.002339775,0.06260294,0.005954212,0.000921007,0.0001118767,0.006747509,0.02402009,0.005305881,0.8302739,0.05055603,0.003623606],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6864513,0.000159232,0.2988398,0.001243807,0.0003918002,0.001477857,0.001035988,0.00009828126,0.01030195],"genre_scores_gemma":[0.1715079,0.001368358,0.8187011,0.00005105145,0.0001558038,0.000005243237,0.00009237629,0.00005975286,0.008058422],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6047739,"threshold_uncertainty_score":0.9999148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2696328283530562,"score_gpt":0.4046982912113298,"score_spread":0.1350654628582735,"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."}}