{"id":"W3125772309","doi":"10.5089/9781513545981.001","title":"Tax Elasticity Estimates for Capital Stocks in Canada","year":2020,"lang":"en","type":"article","venue":"IMF Working Paper","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Corporate tax; Endogeneity; Stock (firearms); Distributed lag; Econometrics; Monetary economics; Percentage point; Elasticity (physics); Tax rate; Cost of capital; Macroeconomics; Value-added tax; Finance; Microeconomics; Tax avoidance; Incentive; Geography","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":[0.0008607341,0.00036878,0.0003907715,0.004484666,0.00109242,0.001678881,0.0007402763,0.0001882478,0.005154383],"category_scores_gemma":[0.00571177,0.0002342743,0.0005994895,0.007071218,0.0003767137,0.0005841542,0.0007234291,0.0006043524,0.0003850615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03261112,"about_ca_system_score_gemma":0.02018577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9917675,"about_ca_topic_score_gemma":0.989657,"domain_scores_codex":[0.9990026,0.00004296869,0.00004850914,0.0001195158,0.0005627109,0.0002237199],"domain_scores_gemma":[0.9970163,0.0003772199,0.0002910693,0.0001452427,0.002030951,0.0001391521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002271679,0.00006562395,0.6406834,0.0002990757,0.0005326595,0.0004070371,0.00140523,0.1501002,0.0009641078,0.07225081,0.03797459,0.09509015],"study_design_scores_gemma":[0.00002084214,0.00001716083,0.863061,0.0001458626,0.000108392,0.0001267965,0.001435672,0.06027937,0.001800782,0.006863953,0.06601964,0.0001205429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8332349,0.002837104,0.01200226,0.001242134,0.00006471304,0.0002164922,0.08666337,0.0004777339,0.06326132],"genre_scores_gemma":[0.9479975,0.001611227,0.003652598,0.00008020941,0.00001593864,0.00005370952,0.03120968,0.0000700368,0.01530917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03261112,"threshold_uncertainty_score":0.2366113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03792295660396911,"score_gpt":0.2046651272604528,"score_spread":0.1667421706564837,"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."}}