{"id":"W3123917408","doi":"","title":"Identification and Counterfactuals in Dynamic Models of Market Entry and Exit","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Policies and Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Counterfactual thinking; Counterfactual conditional; Normalization (sociology); Identification (biology); Econometrics; Market power; Structural estimation; Computer science; Profit (economics); Economics; Microeconomics; Monopoly","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":[0.06493413,0.001037646,0.002441369,0.001592617,0.001401419,0.004526554,0.002907549,0.003386253,0.006047898],"category_scores_gemma":[0.2163913,0.001081686,0.002668265,0.001867355,0.0055672,0.007188395,0.003163306,0.004000567,0.0005427496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003072342,"about_ca_system_score_gemma":0.002198289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003999936,"about_ca_topic_score_gemma":0.003588673,"domain_scores_codex":[0.9632776,0.02871098,0.001391106,0.003330919,0.00243358,0.0008557756],"domain_scores_gemma":[0.6748173,0.2738706,0.02479961,0.02352023,0.00244541,0.000546806],"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":[0.0005964044,0.0004201317,0.01132553,0.0002532483,0.0002777282,0.0002171265,0.0005405686,0.2072487,0.0006847642,0.7500072,0.0009714425,0.02745719],"study_design_scores_gemma":[0.0002691063,0.0002848481,0.005126894,0.0001331591,0.00014321,0.0001010645,0.0001866276,0.4935934,0.002248684,0.4940783,0.003728611,0.0001059934],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2003849,0.0007938729,0.7841016,0.002449625,0.000226062,0.0006526279,0.0006171572,0.0003556739,0.01041851],"genre_scores_gemma":[0.8901407,0.0006317103,0.1017531,0.0005612574,0.0001288575,0.001380396,0.0006778099,0.00007685282,0.004649302],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06493413,"threshold_uncertainty_score":0.3434086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04347232665012808,"score_gpt":0.291331407823748,"score_spread":0.2478590811736199,"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."}}