{"id":"W1990281230","doi":"10.1016/j.jeconom.2010.02.001","title":"Identification robust confidence set methods for inference on parameter ratios with application to discrete choice models","year":2010,"lang":"en","type":"article","venue":"Journal of Econometrics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; Université Laval","funders":"","keywords":"Mathematics; Confidence region; Context (archaeology); Confidence distribution; Confidence interval; Applied mathematics; Robust confidence intervals; Projection (relational algebra); Test statistic; Statistical hypothesis testing; Algorithm; Statistics","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":[0.05882055,0.003004799,0.007343911,0.006534116,0.001609508,0.005143135,0.008513299,0.005184395,0.00973036],"category_scores_gemma":[0.2822717,0.004212433,0.006061663,0.004826219,0.006112419,0.008253613,0.00733567,0.01278847,0.001377495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002278131,"about_ca_system_score_gemma":0.003423012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006045776,"about_ca_topic_score_gemma":0.002666631,"domain_scores_codex":[0.9711422,0.02104397,0.001500885,0.002539018,0.00316444,0.0006094998],"domain_scores_gemma":[0.4790995,0.4962524,0.005806102,0.01145469,0.006159328,0.001228062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004923923,0.0003385051,0.001643576,0.0004892123,0.001010274,0.0002344409,0.0003515933,0.6002768,0.0007170828,0.2867258,0.002711062,0.1050093],"study_design_scores_gemma":[0.00005845397,0.00003431914,0.0001250536,0.00004148404,0.00004855247,0.00002727505,0.00001313174,0.8898848,0.0002725247,0.1091044,0.0003607257,0.00002928984],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001271431,0.0002129866,0.9978914,0.0001211571,0.00002498857,0.00004049907,0.00004898234,0.0001496611,0.0002390027],"genre_scores_gemma":[0.1841032,0.001387715,0.8078544,0.0003449442,0.0004372457,0.001369453,0.001020139,0.0006830277,0.002799941],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05882055,"threshold_uncertainty_score":0.3110765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2946953961469419,"score_gpt":0.3247577654159265,"score_spread":0.03006236926898465,"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."}}