The Heterogeneous Effects of Education on Health and Productivity
教育对健康和生产力的异质影响
基本信息
- 批准号:10264932
- 负责人:
- 金额:$ 46.74万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-09-16 至 2024-04-30
- 项目状态:已结题
- 来源:
- 关键词:AddressAffectAgeAmericanBirthCensusesCessation of lifeCharacteristicsChildChild LaborChildhoodChronicChronic DiseaseCollaborationsCommunitiesDataData FilesData SetData SourcesDatabasesEconomicsEducationEducation GapElderlyEnvironmentEthnic OriginExerciseFamilyFirst BirthsGenderGenerationsGeographyGoalsHealthHealth StatusHealth behaviorHealth behavior outcomesHealthcareHouseholdIncomeIndividualInfrastructureInstitutionInvestmentsLabor ForcesLaw EnforcementLawsLife Cycle StagesLinkLiving ArrangementLongevityMarriageMarriage AgesMeasuresNational Health Interview SurveyNatureNeighborhoodsObesityOccupationalOccupationsOutcomeParentsPathway interactionsPersonal SatisfactionPersonsPoliciesPopulationProcessProductivityPublic HealthRaceRecordsResearchResearch PersonnelResourcesSamplingSchoolsScientific Advances and AccomplishmentsShapesSiblingsSmokingSocial outcomeSocioeconomic StatusSpousesSurveysTimeUnited StatesUnited States National Center for Health StatisticsUnited States National Institutes of HealthUnited States Social Security AdministrationVertebral columnWeightWorkagedbasebehavioral healthbeneficiarycohortcontextual factorsdata centersdiet and exercisedisabilitydrinkingeconomic outcomehealth economicshealth inequalitiesimprovedindexingintergenerationallower income familiesmembernext generationpopulation surveyprogramsresponsesocioeconomicstransmission process
项目摘要
PROJECT SUMMARY
This application responds to PAR-16-080, an NIH FOA to advance scientific understanding of “the nature of
the causal relationship between education and health.” We propose to study how education has shaped the life
course of health and economic well-being for the generation of Americans born in the 1920s and 1930s.
The premise of our research agenda is that education is determined by three factors: First, it is shaped by
parents' decisions and circumstances. Second, local institutions and community characteristics also matter.
And third, these contextual factors can interact with family background, strengthening or weakening the
intergenerational transmission of health and economic well-being. For example, compulsory schooling laws
and child labor laws compel parents to keep their children in school through some minimum age. To the extent
the laws are enforced, they can potentially narrow the education gap between children from richer and poorer
families, leading to changes in the degree of inequality in health and social outcomes in later life.
We propose a research program that studies how parental circumstances and contextual factors jointly affect
educational attainment in childhood and traces its effects on health and economic outcomes over the life
course. To accomplish this, we need a data set that (1) links individuals across generations; (2) can be merged
with local contextual variables; and (3) includes life-course measures of economic and health outcomes.
Fortunately, a recent collaboration between the Census Bureau and academic scholars, the Core Longitudinal
Infrastructure Project (CLIP), provides the backbone of our data needs. CLIP allows us to match 1940 US
Census records on children and youth to near-population data from the Social Security Administration's
Master Beneficiary Record File (MBRF) and the Current Population Survey (CPS). To gain health outcomes,
we propose to link the National Health Interview Survey (NHIS) to this effort. The 1940 Census contains 42.7
million children aged 0-18, most of whom were living with parents and siblings at the time. The MBRF
includes measures of lifetime earnings, disability status, and age at death for 95% or more of people in these
birth cohorts, while the CPS has data on schooling and occupational attainment, and the NHIS on health
behaviors and outcomes for large subsamples. We will use these data to describe the correlations between
family background, education, longevity, and lifetime earnings, and the between-sibling correlations in the
latter outcomes. We will document how these correlations differ by gender, race, and ethnicity, and vary
across regions of the United States. We will also merge information on schooling laws and local school
characteristics, and conduct causal studies of the effect of education on health and lifetime earnings.
All files will be made available to other researchers through the Census and NCHS Research Data Centers.
These data—which will span one hundred years—will be well-suited for our proposed research on how
education shapes lifelong well-being in terms of health and socioeconomic metrics.
项目摘要
此应用程序响应PAR-16-080,NIH FOA,以促进对“自然”的科学理解
教育和健康之间的因果关系。”我们建议研究教育是如何塑造生活的
20世纪20年代和30年代出生的一代美国人的健康和经济福祉。
我们的研究议程的前提是,教育是由三个因素决定的:第一,它是由
父母的决定和情况。其次,地方机构和社区特点也很重要。
第三,这些背景因素可以与家庭背景相互作用,加强或削弱
健康和经济福祉的代际传递。例如,义务教育法
童工法迫使父母让他们的孩子在学校里呆到一定的最低年龄。尽
如果这些法律得到执行,它们可能会缩小贫富儿童之间的教育差距。
家庭的不平等,导致晚年健康和社会成果不平等程度的变化。
我们提出了一个研究计划,研究父母的情况和背景因素如何共同影响
儿童时期的教育程度,并追踪其对一生的健康和经济成果的影响
当然了为了实现这一点,我们需要一个数据集,它(1)能够跨代链接个人;(2)能够合并
与当地的背景变量;(3)包括生命过程的经济和健康结果的措施。
幸运的是,最近人口普查局和学术学者的合作,核心纵向
基础设施项目(CLIP)为我们的数据需求提供了支柱。CLIP使我们能够与1940年的美国
关于儿童和青年的人口普查记录与来自社会保障局的近人口数据相比,
受益人总记录文件(MBRF)和当前人口调查(CPS)。为了获得健康结果,
我们建议将全国健康访问调查(NHIS)与这项工作联系起来。1940年人口普查显示,
2000万名0-18岁的儿童,其中大多数当时与父母和兄弟姐妹生活在一起。MBRF
包括终身收入,残疾状况和死亡年龄的95%或以上的人在这些措施,
出生队列,而CPS有关于教育和职业成就的数据,NHIS有关于健康的数据。
大样本的行为和结果。我们将使用这些数据来描述
家庭背景、教育、寿命和终生收入,以及兄弟姐妹之间的相关性。
后的结果。我们将记录这些相关性如何因性别、种族和民族而异,
在美国的各个地区。我们还将合并有关教育法和当地学校的信息,
研究人员还将研究教育对健康和终身收入的影响。
所有文件将通过人口普查和NCHS研究数据中心提供给其他研究人员。
这些数据将跨越100年,将非常适合我们提出的研究,
教育从健康和社会经济指标的角度塑造终身福祉。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Combining forward and backward mortality estimation.
结合前向和后向死亡率估计。
- DOI:10.1080/00324728.2017.1319496
- 发表时间:2017
- 期刊:
- 影响因子:0
- 作者:Black,DanA;Hsu,Yu-Chieh;Sanders,SethG;Taylor,LowellJ
- 通讯作者:Taylor,LowellJ
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SETH G SANDERS其他文献
SETH G SANDERS的其他文献
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{{ truncateString('SETH G SANDERS', 18)}}的其他基金
The Heterogeneous Effects of Education on Health and Productivity
教育对健康和生产力的异质影响
- 批准号:
10246047 - 财政年份:2017
- 资助金额:
$ 46.74万 - 项目类别:
Using Response Time Data from Social Science Surveys to Model Behavioral Outcomes
使用社会科学调查的响应时间数据来模拟行为结果
- 批准号:
9353196 - 财政年份:2016
- 资助金额:
$ 46.74万 - 项目类别:
Center on Population, Gender, and Social Inequality
人口、性别和社会不平等中心
- 批准号:
6773227 - 财政年份:2001
- 资助金额:
$ 46.74万 - 项目类别:
Center on Population, Gender, and Social Inequality
人口、性别和社会不平等中心
- 批准号:
6912653 - 财政年份:2001
- 资助金额:
$ 46.74万 - 项目类别:
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