{"id":"W1516117782","doi":"","title":"Marriage matching, risk sharing and spousal labor supplies","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Calgary","funders":"","keywords":"Marriage market; Matching (statistics); Bargaining power; Economics; Census; Power (physics); Microeconomics; Labour economics; Econometrics; Sociology; Statistics; Population; Mathematics; Demography","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":[0.001724128,0.0002577527,0.0005361295,0.0005285469,0.0005524931,0.00129224,0.0006383729,0.0006943016,0.009528199],"category_scores_gemma":[0.0086946,0.0002342642,0.0003508354,0.0006963392,0.001028679,0.001401177,0.001109167,0.0005783532,0.0005271002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007044855,"about_ca_system_score_gemma":0.0005076468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001930127,"about_ca_topic_score_gemma":0.001410085,"domain_scores_codex":[0.9992905,0.0002984761,0.00003141541,0.0001176394,0.0001203431,0.0001415837],"domain_scores_gemma":[0.9979813,0.0008379458,0.0007343876,0.0002458952,0.00006114491,0.00013945],"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":[0.000488663,0.0005445798,0.1854681,0.00008723823,0.0002149396,0.0006687189,0.002980226,0.09532918,0.001760662,0.5699941,0.001935255,0.1405282],"study_design_scores_gemma":[0.00008224884,0.0002580195,0.08723626,0.00005901881,0.00008891922,0.0005985508,0.001771248,0.1711042,0.0007864651,0.7327632,0.005203998,0.00004791405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9222286,0.000425003,0.05988802,0.0009025733,0.00001767947,0.00004808688,0.0001467115,0.00003448838,0.01630877],"genre_scores_gemma":[0.9965109,0.0001115952,0.001021245,0.00002565669,0.000009306389,0.0000121932,0.0000292927,0.000002624517,0.002277301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009528199,"threshold_uncertainty_score":0.03187495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0292690448142318,"score_gpt":0.3213028233961036,"score_spread":0.2920337785818717,"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."}}