{"id":"W2516172878","doi":"10.1108/s0731-905320170000038019","title":"The Devil is in the Tails: Regression Discontinuity Design with Measurement Error in the Assignment Variable","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Regression discontinuity design; Covariate; Variable (mathematics); Discontinuity (linguistics); Identification (biology); Observational error; Statistics; Instrumental variable; Econometrics; Mathematics; Regression; Omitted-variable bias; 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":[],"consensus_categories":[],"category_scores_codex":[0.009767028,0.0003637739,0.0005017243,0.000141699,0.0005148836,0.000376057,0.001352889,0.0002019658,0.0002159284],"category_scores_gemma":[0.0001312648,0.000165475,0.00009953153,0.00004810149,0.0001238329,0.0001381608,0.0001441664,0.0006169253,0.0001458058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004239002,"about_ca_system_score_gemma":0.0001303439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004922073,"about_ca_topic_score_gemma":0.01000241,"domain_scores_codex":[0.9976916,0.0001388113,0.0008245499,0.0005544397,0.0002832791,0.0005073334],"domain_scores_gemma":[0.9973906,0.0002345041,0.0007466843,0.001538182,0.00003984725,0.0000502096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004268564,0.0000551697,0.000187978,0.00004964606,0.00006117739,0.00001063439,0.001656731,0.00002169434,9.938222e-8,0.9697891,0.02198221,0.006142848],"study_design_scores_gemma":[0.0003846947,0.0001078201,0.0009477165,0.0003042248,0.00001477485,0.000002098757,0.0003272148,0.0001369843,0.000001637521,0.1399815,0.857525,0.0002663756],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001442359,0.002702542,0.008757439,0.04656992,0.0002312431,0.002370688,0.00004262408,0.0000136617,0.9392974],"genre_scores_gemma":[0.4230743,0.005722011,0.001366196,0.01685449,0.0005150454,0.001420387,0.00002148136,0.0001439188,0.5508822],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8355428,"threshold_uncertainty_score":0.7440735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2192931833136164,"score_gpt":0.2903264747779125,"score_spread":0.07103329146429604,"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."}}