{"id":"W140177387","doi":"10.48713/10336_10838","title":"Poverty impacts of increased openness and fiscal policies in a dollarized economy: a CGE-micro approach for Ecuador","year":2022,"lang":"en","type":"book","venue":"RePEc: Research Papers in Economics","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad del Rosario; International Development Research Centre","keywords":"Computable general equilibrium; Economics; Liberian dollar; Poverty; Income distribution; Revenue; Tariff; Order (exchange); Fiscal policy; Distribution (mathematics); Free trade; Currency; International economics; Tax revenue; Macroeconomics; Inequality; Economic growth; Finance","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":[0.0003919321,0.0002632283,0.0004932436,0.0005710582,0.0002554318,0.0009882485,0.0005343362,0.000417418,0.004279117],"category_scores_gemma":[0.001385043,0.0001622948,0.0005403211,0.0007946758,0.0003293231,0.0007116382,0.000762105,0.0006297352,0.0001352735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594894,"about_ca_system_score_gemma":0.0005095874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04711225,"about_ca_topic_score_gemma":0.02632167,"domain_scores_codex":[0.9998782,0.00006299984,0.000003982901,0.00001647402,0.000009626205,0.00002877996],"domain_scores_gemma":[0.9995215,0.0003037695,0.00007141172,0.0000231893,0.00004515527,0.00003499113],"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":[0.0002843074,0.000340488,0.05534174,0.0001113239,0.0001915846,0.0008298478,0.0002265488,0.8835847,0.0009466672,0.03599684,0.003920748,0.01822522],"study_design_scores_gemma":[0.00006315867,0.0001881212,0.02756473,0.00003102877,0.00009618432,0.00005793036,0.0009422123,0.9554748,0.0005741027,0.01248699,0.002496025,0.00002481225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871122,0.0003655285,0.003417459,0.0009126586,0.00001536114,0.00001716528,0.0006086605,0.00004452535,0.007506445],"genre_scores_gemma":[0.995288,0.0002470551,0.001950526,0.00005877156,0.00001138655,0.00003184257,0.0002714642,0.00001321516,0.002127651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04711225,"threshold_uncertainty_score":0.09367609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04136986012549795,"score_gpt":0.337427694041703,"score_spread":0.296057833916205,"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."}}