{"id":"W2032594490","doi":"10.1006/redy.2002.0190","title":"Why Do Women Wait? Matching, Wage Inequality, and the Incentives for Fertility Delay","year":2002,"lang":"en","type":"article","venue":"Review of Economic Dynamics","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":200,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Fertility; Economics; Incentive; Labour economics; Matching (statistics); Inequality; Wage; Investment (military); Wage inequality; Demographic economics; Population; Microeconomics; Demography; Medicine; Sociology; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.005104434,0.0001281199,0.0006154,0.0004838498,0.0007412283,0.001488638,0.0006113054,0.002021468,0.008468058],"category_scores_gemma":[0.0228898,0.0002518746,0.0002328238,0.0007702293,0.001665469,0.00146251,0.0007725802,0.001227298,0.0004015821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001130272,"about_ca_system_score_gemma":0.001864458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003673155,"about_ca_topic_score_gemma":0.006511431,"domain_scores_codex":[0.9985611,0.0007697726,0.00004972156,0.0001209169,0.0001506814,0.0003477299],"domain_scores_gemma":[0.9872269,0.009013808,0.0021835,0.0003423013,0.0002892862,0.000944217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002378184,0.0008611815,0.3480569,0.0005086784,0.0002240544,0.0006882675,0.003079542,0.008749372,0.00182813,0.3255237,0.01480613,0.2932959],"study_design_scores_gemma":[0.0005524622,0.0005146134,0.2441704,0.0004230349,0.0001617788,0.0009084605,0.008496103,0.009903344,0.0009271379,0.7022631,0.03160346,0.00007611841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8209553,0.02622824,0.006913898,0.1100006,0.0004256337,0.00007435125,0.0006843943,0.00003178822,0.03468579],"genre_scores_gemma":[0.9903585,0.004831507,0.0005076446,0.001606502,0.0003927439,0.00001959905,0.00004291736,0.000005560089,0.002234995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008468058,"threshold_uncertainty_score":0.02832848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02729938663854981,"score_gpt":0.2966074947763076,"score_spread":0.2693081081377578,"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."}}