Integrated Lifecycle Approach to the Development of Health & Other Capabilities

健康发展的综合生命周期方法

• 批准号: 8469326
• 负责人: JAMES J HECKMAN
• 金额: $ 56.9万
• 依托单位: NATIONAL BUREAU OF ECONOMIC RESEARCH
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-05 至 2015-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8469326
• 关键词: Accounting; Address; Bayesian Method; Behavior; Biological Markers; Child; Cognition; Complement; Complex; Data; Data Set; Development; Dimensions; Disease; Economic Models; Economics; Education; Environment; Epidemiology; Evolution; Family; Fostering; Foundations; Generations; Genes; Genetic; Goals; Health; Health Policy; Health Status; Health education; Human; Human Development; Investments; Joints; Life Cycle Stages; Literature; Macaca mulatta; Marketing; Measurement; Measures; Meta-Analysis; Methodology; Modeling; Monkeys; Motivation; National Institute of Child Health and Human Development; Neurosciences; Nonlinear Dynamics; Outcome; Personality; Personality Traits; Policies; Population; Production; Psychology; Public Policy; Research; Schools; Series; Siblings; Social Policies; Socioeconomic Status; Source; Structure; Techniques; Technology; Testing; Work; cost; developmental psychology; health disparity; health economics; human capital; intergenerational; particle; public health relevance; social; socioeconomics; theories; tool; treatment effect

DESCRIPTION (provided by applicant): The goal of this project is to analyze the effects of family and schooling on the development of health and the formation of other capabilities that promote health within and across generations. Our developmental approach focuses on factors that promote health, beginning in the early years, rather than on cures for diseases and their costs, the current focus of much health policy. To achieve this goal, we propose to develop and apply economic models to analyze numerous large- scale data sets with life-cycle information to investigate the sources of health disparities, and the mechanisms that social policy can influence: schooling and the family environments of children. We will investigate the causal foundations of the contemporaneous empirical association between health and socioeconomic status, including education, and the association between health at all stages of the life cycle and life-cycle environments and investments. We will build on our previous work to study how capabilities - cognition, personality traits, and health - determine a variety of outcomes. We will build on and extend our prior research on the technology of capability formation, analyzing parental investments in multi-sibling families and parental choices in alternative market settings. We will study the capabilities that determine health conditions and other outcomes, and the factors that determine the life-cycle and intergenerational evolution of these capabilities. This research will deepen our understanding of the sources of the education-health correlation and of other relationships between health and socioeconomic status, and the mechanisms that produce these relationships. It will suggest policies that foster the capabilities that promote education and health. We will use both experimental and nonexperimental data to develop dynamic models for the production of health and other capabilities. We will develop the econometric tools needed to identify the effects of capabilities on diverse outcomes and the effects of parental investment and schools on the formation of capabilities over the life cycle. We will develop techniques to pool data with comparable measurement frameworks from different segments of the life cycle to analyze life-cycle outcomes in the absence of life-cycle information from any single data set. To supplement our analysis of the dynamics of capability formation, and its implications for health, we will conduct parallel analyses on the life-cycle development of health for multiple generations of rhesus monkeys. Rhesus monkeys resemble humans in many important aspects. They share 95% of our genes and they have complex social structures. Working with Stephen Suomi at NICHD, we have access to rich, experimentally manipulated data on health, genes, environments, and personality traits over multiple generations, that we will analyze with our dynamic models of capability expression and capability formation.

描述（由申请人提供）：该项目的目标是分析家庭和学校教育对健康发展的影响，以及其他促进代际和代际健康的能力的形成。我们的发展方针侧重于从早期开始促进健康的因素，而不是疾病的治疗及其费用，这是目前许多卫生政策的重点。为了实现这一目标，我们建议开发和应用经济模型来分析大量具有生命周期信息的大规模数据集，以调查健康差异的来源，以及社会政策影响儿童上学和家庭环境的机制。我们将调查健康与社会经济地位（包括教育）之间的当代经验关联的因果基础，以及生命周期各个阶段的健康与生命周期环境和投资之间的关联。我们将以之前的工作为基础，研究能力——认知、人格特征和健康——如何决定各种结果。我们将在之前关于能力形成技术的研究基础上进行扩展，分析多兄弟姐妹家庭中父母的投资和父母在不同市场环境下的选择。我们将研究决定健康状况和其他结果的能力，以及决定这些能力的生命周期和代际演变的因素。这项研究将加深我们对教育-健康相关性的来源、健康与社会经济地位之间的其他关系，以及产生这些关系的机制的理解。它将提出政策建议，培养促进教育和卫生的能力。我们将利用实验数据和非实验数据，为卫生和其他能力的产生制定动态模型。我们将开发所需的计量经济学工具，以确定能力对不同结果的影响，以及父母投资和学校对生命周期中能力形成的影响。我们将开发技术，将来自生命周期不同阶段的可比较测量框架的数据汇集在一起，以在没有任何单一数据集的生命周期信息的情况下分析生命周期结果。为了补充我们对能力形成动力学及其对健康的影响的分析，我们将对多代恒河猴的生命周期健康发展进行平行分析。恒河猴在许多重要方面与人类相似。它们有95%的基因与我们相同，它们有复杂的社会结构。通过与NICHD的Stephen Suomi合作，我们获得了丰富的、经过实验处理的数据，这些数据涉及多代人的健康、基因、环境和人格特征，我们将用能力表达和能力形成的动态模型对这些数据进行分析。