{"id":"W4319301525","doi":"10.2139/ssrn.4347331","title":"How Much Does Mobility Matter for Value-Added Tax Revenue? Cross-Country Evidence around COVID-19","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Revenue; Tax revenue; Coronavirus disease 2019 (COVID-19); Economics; Quarter (Canadian coin); Value-added tax; Population; Pandemic; Demographic economics; Monetary economics; Business; Public economics; Geography; Finance; Demography; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002936369,0.0003558195,0.0008176799,0.00172338,0.001249833,0.004115761,0.0009194341,0.001042161,0.01079646],"category_scores_gemma":[0.01177604,0.0002878552,0.0009704401,0.00306727,0.001887705,0.002697396,0.002601622,0.001854002,0.00149001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000986097,"about_ca_system_score_gemma":0.0008371685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02660739,"about_ca_topic_score_gemma":0.02719609,"domain_scores_codex":[0.9976367,0.0006479557,0.0001936802,0.0005613705,0.0003503054,0.0006098642],"domain_scores_gemma":[0.9743727,0.007018832,0.01282432,0.001831333,0.002293774,0.001658909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001154787,0.0002151064,0.9237472,0.000294799,0.001754937,0.0004744114,0.002502068,0.001796636,0.0006378518,0.02884236,0.007313764,0.03126606],"study_design_scores_gemma":[0.00007398355,0.0002138911,0.9664249,0.0004604095,0.0007187536,0.0002220178,0.006435288,0.0009274091,0.000896147,0.004883541,0.01868239,0.00006112598],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9561093,0.008302409,0.001190081,0.005225578,0.0001859643,0.00003012539,0.002470536,0.00005032847,0.02643557],"genre_scores_gemma":[0.9957028,0.0006753301,0.00008924195,0.0002574951,0.00003942873,0.000005548485,0.0009349529,0.00001117898,0.00228397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02660739,"threshold_uncertainty_score":0.05290502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.051143682979335,"score_gpt":0.3074694737421816,"score_spread":0.2563257907628466,"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."}}