{"id":"W2982204868","doi":"10.1086/719760","title":"Estimating an Equilibrium Model of Horizontal Competition in Education","year":2022,"lang":"en","type":"preprint","venue":"Journal of Political Economy","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; University of California, San Diego; University of Illinois at Urbana-Champaign; University of Toronto; London School of Economics and Political Science; Booth School of Business, University of Chicago; University of Oxford; Carnegie Mellon University; University of Rochester; Canadian Institute for Advanced Research; University of Pennsylvania","keywords":"Intuition; Welfare; Inequality; Economics; Competition (biology); Quality (philosophy); Profit (economics); Microeconomics; Private education; Psychological intervention; Competition model; Public economics; Higher education; Economic growth; Psychology; Mathematics; Market economy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001939751,0.000666393,0.001668522,0.0007985903,0.0005866689,0.002232421,0.00143058,0.002256522,0.01412149],"category_scores_gemma":[0.008116167,0.0007260076,0.001048306,0.00108209,0.001055559,0.001982905,0.001350276,0.001673878,0.00093684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003183797,"about_ca_system_score_gemma":0.002091288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03396129,"about_ca_topic_score_gemma":0.0232015,"domain_scores_codex":[0.9990485,0.0004183296,0.00003134248,0.0002050442,0.0000764651,0.0002202856],"domain_scores_gemma":[0.9951226,0.003835957,0.0004891055,0.0001078632,0.0002709505,0.0001734943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009593265,0.0001631891,0.004351322,0.00007495006,0.00006403059,0.00009288787,0.0001049794,0.8939537,0.0004005963,0.09432861,0.001415856,0.004953866],"study_design_scores_gemma":[0.00009809081,0.00004356179,0.0008234438,0.000009745698,0.00001334999,0.00001204814,0.00008970956,0.9638615,0.00008452724,0.0343718,0.0005764839,0.00001574844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5801911,0.0003541751,0.3767736,0.00312414,0.00007249746,0.0002969489,0.00312395,0.0002616429,0.03580189],"genre_scores_gemma":[0.9459825,0.0002450179,0.03617857,0.0002226974,0.00003640179,0.0003206253,0.001249487,0.00004400501,0.01572068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03396129,"threshold_uncertainty_score":0.06752723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02698872454688049,"score_gpt":0.3294885852430358,"score_spread":0.3024998606961553,"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."}}