{"id":"W1991175035","doi":"10.1002/j.2325-8012.2006.tb00748.x","title":"An SVAR Model of Fluctuations in U.S. Migration Flows and State Labor Market Dynamics","year":2006,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Economics; Labor demand; Structural vector autoregression; Demand shock; Amenity; Vector autoregression; Supply and demand; Labour economics; Dynamics (music); Labor mobility; State (computer science); Macroeconomics; Monetary economics; Monetary policy; Wage","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":[0.001636204,0.0005507515,0.0008543041,0.0009730226,0.000544205,0.002358596,0.001428122,0.001279972,0.006738014],"category_scores_gemma":[0.003701732,0.0005487499,0.0009009076,0.001522372,0.0008871171,0.001681134,0.0008344647,0.001908874,0.001535259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138965,"about_ca_system_score_gemma":0.001313324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0380315,"about_ca_topic_score_gemma":0.0253784,"domain_scores_codex":[0.9994792,0.000191604,0.00002266799,0.0001502885,0.00004661744,0.0001097109],"domain_scores_gemma":[0.9987172,0.0006530806,0.0002919557,0.0000730172,0.0001681374,0.00009669582],"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":[0.0001675969,0.0001133631,0.01645866,0.00004092512,0.000143139,0.0003044483,0.0003907198,0.7615948,0.0005098981,0.1934464,0.009097404,0.01773263],"study_design_scores_gemma":[0.00002223048,0.00003481662,0.002509431,0.000009292699,0.00002399733,0.00002842473,0.00009137603,0.9749638,0.00005643577,0.02062563,0.00161689,0.00001773432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6526704,0.0009466057,0.2979154,0.007862214,0.0004316169,0.0001392641,0.005913214,0.001015557,0.03310579],"genre_scores_gemma":[0.9434975,0.0007512459,0.008281872,0.0002441492,0.0001425545,0.0001294897,0.00201085,0.0000861804,0.04485621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0380315,"threshold_uncertainty_score":0.07562023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009428342204406987,"score_gpt":0.1894308452399742,"score_spread":0.1800025030355672,"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."}}