{"id":"W4388464631","doi":"10.1016/j.jmoneco.2026.103958","title":"Disincentive Effects of Unemployment Insurance Benefits","year":2023,"lang":"en","type":"article","venue":"Journal of Monetary Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Unemployment; Generosity; Labour economics; Economics; Wage; Coronavirus disease 2019 (COVID-19); Pandemic; Labor demand; Stimulus (psychology); Demographic economics; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009743275,0.0001551264,0.0006835157,0.0003206911,0.00004228076,0.00002884142,0.0003231251,0.00008446539,0.00002686872],"category_scores_gemma":[0.000135315,0.0001672273,0.0002695085,0.0002597218,0.00005261209,0.0003217698,0.00007833708,0.000172524,0.00005548724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001131133,"about_ca_system_score_gemma":0.00003156161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000062218,"about_ca_topic_score_gemma":0.00001520615,"domain_scores_codex":[0.9981428,0.00002548766,0.001338971,0.0002085423,0.000040297,0.0002439471],"domain_scores_gemma":[0.9978291,0.0002186406,0.001503362,0.0002728135,0.00007103867,0.0001050126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001594048,0.0002533978,0.7685249,0.0002060832,0.0004878974,0.00003857241,0.0004540706,0.02433452,0.00004113106,0.1972873,0.0003178452,0.007894916],"study_design_scores_gemma":[0.001460357,0.000297479,0.8253498,0.0001011481,0.00002072982,0.00001035312,0.00004020702,0.005351135,0.000414865,0.1640689,0.00258623,0.0002987823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944668,0.002457595,0.0001748827,0.0004462759,0.001388445,0.0001254568,0.0002785448,0.00001162124,0.0006504192],"genre_scores_gemma":[0.9920755,0.007182812,0.0003562929,0.0001022476,0.0001409943,0.0000024414,0.0000115094,0.00002397866,0.0001042447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05682493,"threshold_uncertainty_score":0.6819332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950544601364108,"score_gpt":0.207777316248858,"score_spread":0.188271870235217,"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."}}