The Impact of Medicare on Individual Longevity: Evidence from Medicare Introduction Using Big Data
The Impact of Medicare on Individual Longevity: Evidence from Medicare Introduction Using Big Data
批准号:
10575297
负责人:
Dahai Yue
金额:
$25.99万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-03-01 至 2025-02-28
关键词:
AffectAgeAreaBig DataBirthCensusesCharacteristicsChronicCoronary Artery BypassDataData AggregationData SetDeath RecordsDisabled PersonsEducationElderlyEligibility DeterminationEthnic OriginEvaluationGenderGenealogical TreeGenerationsGeographic LocationsGeographyGoalsHealthHealth InsuranceHealth PolicyHeterogeneityHospitalizationHospitalsIncomeIndividualInsuranceInsurance CoverageInterruptionInvestigationInvestmentsKnowledgeLife ExpectancyLinkLong-Term EffectsLongevityMeasurableMeasuresMedicalMedicareModelingMortality DeclineOccupationsOperative Surgical ProceduresOutcomeParticipantPatientsPatternPhysiciansPoliciesPolicy MakerPopulationPreventive carePricePrivatizationPublishingRaceRecordsReduce health disparitiesReligionReportingResearchRunningSeriesServicesSocioeconomic StatusSubgroupSurveysTimeTime Series AnalysisVariantWorkage groupcohortdesigngeographic differencehealth care availabilityhealth care service utilizationhuman old age (65+)improvedindividual variationmortalitynovelpopulation healthprogramssimulationsociodemographic factorssocioeconomicstrend
中文摘要
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英文摘要
PROJECT ABSTRACT
Prior studies have reported that the Medicare program does not result in significant declines of mortality rates,
except among severely ill patients who require immediate hospitalization and among the disabled. But none of
the previous studies has estimated the lifetime effects of having access to the Medicare program—they only
investigated its short-term impacts. In other contexts, prior research has found that short-term evaluations can
miss important long-term effects. In the case of policies affecting health care access, this issue is particularly
important. Because Medicare covers important preventive care and helps participants to manage chronic
conditions, the cumulative impact of having access to Medicare might be big, even if its short-term impact is
limited. The main goal of this project is to estimate the long-term impact of Medicare on longevity for the
population as a whole and various subgroups. Prior work is often limited in its investigation of heterogeneity
because it relies on published aggregate mortality rates which are only broken down by geography, gender,
race/ethnicity, and age, but not by any other measure of socioeconomic status. Thus, a knowledge gap exists
on the lifetime effect of Medicare on individual (completed) longevity and whether this varies across
socioeconomic groups. The proposed exploratory project will examine the impact of Medicare’s introduction on
the longevity of the affected cohorts. When Medicare took effect in July 1966, it created variations in the age
when Medicare’s first-generation recipients gained Medicare coverage: for example, those born in 1902
became eligible at 65 whereas those born in 1891 gained eligibility at age 75. This project will use a large and
newly created dataset that links the US census with genealogical data. To our knowledge, this dataset will be
the largest dataset to date in the US containing information on both individual longevity as well as individual
socioeconomic characteristics. This study will first examine Medicare’s short-term effects on annual mortality
rates, reevaluating previous studies but using individual-level data, and extending the results to look at effects
among various subgroups (Aim 1). Then, this project will investigate the cumulative long-term effect of
Medicare on longevity by comparing the average longevity of individuals who gained Medicare at different ages
using an interrupted time-series analysis, for all and by subgroup (Aim 2). Finally, the project will leverage
geographic and individual variation in private health insurance before Medicare’s introduction to estimate the
causal lifetime effect of Medicare on longevity (Aim 3). A difference-in-differences strategy will be used: we will
assess if the changes in longevity for groups who gained Medicare coverage at age 65 or at older ages are
greater for those who were already likely to have private health insurance, either because of their geographic
location or their personal characteristics. The analysis will be repeated based on occupation, education,
income, and other measures of socioeconomic status.
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