Causal effects of wealth on health: Evidence from lifetime follow-up of randomized land redistribution

财富对健康的因果影响：随机土地再分配的终生随访证据

• 批准号: 10592575
• 负责人: Evan W Roberts
• 金额: $ 24.41万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-02-15 至 2025-01-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10592575
• 关键词: Address; Adult; Affect; Age; Aging; Award; Binding; Birth; Birth Order; Cause of Death; Cessation of life; Child; Child Health; Child Mortality; Childhood; Communicable Diseases; Data; Data Set; Death Records; Economics; Elderly; Employment; Ensure; Ethics; Etiology; Family; Farm; Gender; Generations; Health; Health Insurance; Health Policy; Health Status; Housing; Income; Inequality; International; Knowledge; Life; Life Cycle Stages; Life Expectancy; Link; Longevity; Longitudinal Studies; Measures; Mediation; Modernization; New Zealand; Occupational Status; Outcome; Parents; Participant; Pathway interactions; Pattern; Persons; Pilot Projects; Policies; Population Process; Privatization; Process; Property; Public Policy; Randomized; Records; Research; Research Design; Research Personnel; Resources; Risk Factors; Role; Sampling; Savings; Siblings; Social Policies; Social Processes; Social status; Societies; Socioeconomic Status; Spouses; Subgroup; System; Testing; Time; Woman; cohort; comparative; design; experimental study; farmer; follow-up; gender difference; health disparity; improved; infancy; interest; intergenerational; men; middle age; mortality; novel; offspring; payment; programs; prospective; residence; rural residence; sex; social; urban residence

PROJECT SUMMARY A significant body of research shows that having money is highly correlated with better health. But determining how much of the association is causal is challenging. The gold standard for determining causality is prospective random assignment of treatment, but practical and ethical considerations often make it hard to award money or equivalent resources in a truly random way. Thus, researchers have used longitudinal studies of parents’ income and children’s health or exogenous changes in social and fiscal policy to show that additional money lowers mortality. But studies with true randomization—lottery winners and people randomly given different levels of health insurance—show more modest influences of money on mortality. This study produces the first ever estimates of how randomly awarded wealth affects mortality over a lifetime of follow-up in two generations, for both men and women, and constructs a policy relevant metric of the incremental wealth required for an additional year of life expectancy. The project analyzes the long-term implications of a major land redistribution policy in New Zealand in which low interest loans for farms were awarded by lottery. Program terms ensured applicants were of similar economic status, and the policy operated like a true random experiment. Loan terms were similar to modern mortgages: low annual payments over a long term. Documents show randomization was adhered to for over 20 years. New Zealand’s universal, centralized death registration facilitates construction of a matched intergenerational sample of lottery winners and losers and their children. Ninety percent of applicants can be linked to death records, which is a significantly higher linkage rate than can be obtained in the US. These estimates will be a lower bound on how much money matters for health because New Zealand had low inequality, high life expectancy, and the subjects were born in an era when infectious disease was an important cause of death. This R21 project has four aims: 1) estimate the causal effects of winning land on lottery participants’ mortality, 2) estimate the causal effects of winning land on the mortality of children of lottery participants, 3) estimate gender differences in the effects of wealth on mortality, and 4) identify potential mechanisms that contributed to life expectancy differences. The study design combines the inferential strengths of true random assignment in a block design with additional contrasts between children born before and after their parents participated in the lottery to identify effects of wealth on mortality in two generations. Contrasts in effect sizes by sex, birth order, and generation are used to identify potential causal mechanisms. Causal mediation analysis of early adult health measures, mid-life occupational status, urban or rural residence, and lifetime wealth accumulation illuminate potential pathways between wealth and reduced mortality. The proposed research, with a credible causal identification strategy and lifetime follow-up, will contribute significantly to knowledge of how money and social status affect health, aging, and mortality.

项目概要 大量研究表明，拥有金钱与更好的健康密切相关。 确定因果关系的黄金标准是前瞻性的。 随机分配治疗，但出于实际和道德考虑，通常很难给予金钱或 因此，研究人员对父母的收入进行了纵向研究。 以及儿童的健康或社会和财政政策的外生变化，以表明额外的资金会降低 但真正随机化的研究——彩票中奖者和随机给予不同水平的人。 健康保险——显示金钱对死亡率的影响更为温和。这项研究首次进行。 估计随机授予的财富如何影响两代人一生中的死亡率，例如 男性和女性，并构建了一个与政策相关的衡量标准，衡量额外收入所需的增量财富 该项目预测了重大土地重新分配政策的长期影响。 新西兰通过抽签方式为农场提供低息贷款，该计划条款为申请人提供了保障。 经济状况相似，并且像真实随机实验一样的操作政策也相似。 现代抵押贷款：文件显示长期坚持低年付款。 新西兰 20 多年来普遍、集中的死亡登记促进了匹配的建立。 彩票中奖者和中奖者及其子女的代际样本可以是百分之九十的申请人。 与死亡记录关联，其关联率明显高于美国的关联率。 由于新西兰的不平等程度较低，因此对金钱对健康的重要性的估计将是一个下限， 预期寿命高，并且受试者出生在传染病是导致死亡的重要原因的时代 这个 R21 项目有四个目标：1）估计赢得土地对彩票参与者的因果影响。 死亡率，2) 估计赢得土地对彩票参与者子女死亡率的因果影响，3) 估计财富对死亡率影响的性别差异，4) 确定潜在的机制 研究设计结合了真正随机的推理优势。 块设计中的作业，并在父母之前和之后出生的孩子之间进行额外对比 参与抽签以确定财富对两代人死亡率的影响对比。 性别、出生顺序和世代用于识别潜在的因果中介分析。 早期成年健康指标、中年职业状况、城市或农村居住地以及终生财富 拟议的研究揭示了财富积累和降低死亡率之间的潜在途径。 合理的因果识别策略和终生随访将极大地有助于了解如何 金钱和社会地位影响健康、衰老和死亡率。