{"id":"W4392938958","doi":"10.2139/ssrn.4765308","title":"Assessing Carbon Tax Using a Computable General Equilibrium Model with Firm Heterogeneity: An Application to Vietnam","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Computable general equilibrium; Economics; Carbon tax; General equilibrium theory; Econometrics; Macroeconomics; Mathematical economics; Monetary economics; Greenhouse gas; Geology","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":[0.002270376,0.0004962065,0.001336782,0.0007689188,0.0007019439,0.002029447,0.001055926,0.001769678,0.002839515],"category_scores_gemma":[0.009730447,0.0004512414,0.000985411,0.001296907,0.0007547271,0.002048496,0.0008962913,0.001247345,0.0001272402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004542751,"about_ca_system_score_gemma":0.002499751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2090317,"about_ca_topic_score_gemma":0.07818106,"domain_scores_codex":[0.9995216,0.0002790903,0.00001617507,0.00009220078,0.00002972334,0.00006128778],"domain_scores_gemma":[0.9918697,0.007097474,0.00032249,0.0002034625,0.0003045312,0.0002023981],"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":[0.00006228664,0.00005591331,0.004743781,0.00002606907,0.00003651293,0.0001275222,0.00007050002,0.9823768,0.0001151325,0.009769005,0.0002837753,0.002332594],"study_design_scores_gemma":[0.00001531187,0.000015975,0.0008669273,0.000003147992,0.00001223155,0.000009948858,0.000060499,0.9949501,0.00007300071,0.003885861,0.00009998819,0.00000701021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9406676,0.0002585344,0.05272946,0.00113195,0.00002412081,0.0000703692,0.0005328791,0.0001177063,0.004467563],"genre_scores_gemma":[0.9937862,0.00008770449,0.005066247,0.00002638789,0.000008640691,0.00001505362,0.0001419643,0.0000211155,0.0008467317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2090317,"threshold_uncertainty_score":0.41563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08336451368885453,"score_gpt":0.3094638778773254,"score_spread":0.2260993641884708,"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."}}