{"id":"W4311681005","doi":"10.22215/etd/2022-15225","title":"Three Essays on News Shocks and Fiscal Multipliers","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"HEC Montréal; Ben-Gurion University of the Negev; University of Ottawa","keywords":"Transfer payment; Payment; Economics; Shock (circulatory); Fiscal multiplier; Consumption (sociology); Consumer spending; Monetary economics; Transfer (computing); Fiscal policy; Demographic economics; Government spending; Macroeconomics; Recession; Finance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001546466,0.0006862879,0.0003473773,0.002016028,0.001952553,0.003716957,0.0005806698,0.001768305,0.01038487],"category_scores_gemma":[0.008886504,0.000280604,0.0005942109,0.002909033,0.00270721,0.003413968,0.001617061,0.003489262,0.001465919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004356539,"about_ca_system_score_gemma":0.002152059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008970995,"about_ca_topic_score_gemma":0.006659898,"domain_scores_codex":[0.9993743,0.0001655121,0.00004057957,0.000082026,0.0002400188,0.00009753359],"domain_scores_gemma":[0.9947674,0.003195379,0.00052479,0.0002090642,0.000978829,0.0003245878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009595641,0.00007438366,0.003612168,0.0004310704,0.00004319867,0.0001720198,0.002298058,0.001630889,0.0002901382,0.6380954,0.2854041,0.06785262],"study_design_scores_gemma":[0.00004067854,0.00006808074,0.006736295,0.001184139,0.00004203687,0.0001481077,0.001868428,0.001232786,0.0004750379,0.1785485,0.809576,0.00007984335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03447199,0.1336728,0.02102625,0.40267,0.02981402,0.0001803072,0.002048136,0.000194962,0.3759216],"genre_scores_gemma":[0.4182981,0.1869982,0.00981241,0.04835176,0.04551573,0.0004063058,0.001537982,0.0003533266,0.2887262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01038487,"threshold_uncertainty_score":0.03474092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115722915319809,"score_gpt":0.2424852672759018,"score_spread":0.2313280381227037,"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."}}