Occupational differences in the effects of retirement on hospitalizations for mental illness among female workers: Evidence from administrative data in China
Wang T, Sun R, Sindelar J, Chen X. Occupational differences in the effects of retirement on hospitalizations for mental illness among female workers: Evidence from administrative data in China. Economics & Human Biology 2024, 53: 101367. PMID: 38340649, PMCID: PMC11060846, DOI: 10.1016/j.ehb.2024.101367.Peer-Reviewed Original ResearchStatutory retirement ageRegression discontinuity designEffect of retirementFemale workersOccupational differencesFuzzy regression discontinuity designHealth care utilizationMental illnessRegression discontinuity design estimatorCare utilizationWhite-collarLife courseRetirement decisionsCategories of schizophreniaRetirement ageDiscontinuity designBlue-collarWorsening mental healthPolicy schemesUrban employeesAdministrative dataRetirementInpatient claims dataDelusional disorderPent-up demandApplying Machine Learning Approach to Explore Childhood Circumstances and Self-Rated Health in Old Age — China and the US, 2020–2021
Huo S, Feng D, Gill T, Chen X. Applying Machine Learning Approach to Explore Childhood Circumstances and Self-Rated Health in Old Age — China and the US, 2020–2021. China CDC Weekly 2024, 6: 213-218. PMID: 38532746, PMCID: PMC10961215, DOI: 10.46234/ccdcw2024.043.Peer-Reviewed Original ResearchSelf-rated healthSenior healthChildhood circumstancesPromote health equityEarly-life interventionsHealth equityChina HealthChildhood healthRetirement StudyHealthSelf-ratingsAging populationFinancial statusChinese participantsAge ChinaConditional inference treesChildhoodOut-of-sample mean squared errorsInterventionParticipantsRegional differencesUSStatusInference treesRetirement