{"id":"W3125334868","doi":"","title":"Estimating and Testing Models with Many Treatment Levels and Limited Instruments","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Endogeneity; Instrumental variable; Econometrics; Estimator; Ordinary least squares; Hausman test; Population; Specification; Unit (ring theory); Average treatment effect; Mathematics; Econometric model; Economics; Statistics; Fixed effects model; Panel data; Medicine","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":[0.0683298,0.001880204,0.00397424,0.002565563,0.001479643,0.004564755,0.005620229,0.004665866,0.009816865],"category_scores_gemma":[0.2741172,0.001670911,0.00382851,0.003453379,0.00461261,0.005989623,0.004870821,0.005334535,0.001131958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001946571,"about_ca_system_score_gemma":0.002484019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002625969,"about_ca_topic_score_gemma":0.001738346,"domain_scores_codex":[0.9025797,0.08069026,0.003250889,0.00791052,0.003744598,0.00182409],"domain_scores_gemma":[0.5393456,0.4113751,0.0188956,0.0265493,0.002920075,0.0009143445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001526353,0.002175169,0.1408655,0.001202599,0.005053634,0.00146951,0.001912012,0.240626,0.0009613531,0.4008596,0.005025657,0.1983226],"study_design_scores_gemma":[0.001091102,0.001023936,0.01447342,0.000288567,0.0007695718,0.0002469035,0.0007797047,0.4783921,0.001616634,0.4957871,0.005401282,0.0001295357],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2019096,0.0008655429,0.7836698,0.004439492,0.0002225314,0.000861841,0.001531219,0.0006522797,0.005847784],"genre_scores_gemma":[0.7145979,0.0006881896,0.2752613,0.001170114,0.0004726611,0.003588309,0.001663797,0.00008993639,0.002467779],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0683298,"threshold_uncertainty_score":0.3613668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08171816135078773,"score_gpt":0.2152620924182369,"score_spread":0.1335439310674491,"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."}}