Experimental Evidence on Long-run and Intergenerational Impacts of Child Health Investments in the Kenya Life Panel Survey (KLPS)

项目摘要/摘要 该项目将研究儿童健康计划对接受者的生活水平、劳动力的长期影响。 供应、健康、婚姻和生育率以及其他生活结果。该项目扩展了纵向(面板)数据集 8-15岁时参加随机健康干预(以小学为基础的驱虫)的参与者 很多年了。该项目的一个新方面是它的代际联系：数据集，肯尼亚生命小组 调查(KLP)，包含有关健康、营养、教育、人口统计和劳动力的详细信息 1998-2021年期间超过6,500名肯尼亚人的市场结果以及健康、行为和认知 3-9岁儿童的发展情况(2018-2021年收集)。由此得到的28年纵向数据集将 允许研究团队利用实验变异来估计长期和代际影响 儿童健康干预。最重要的是，最近一轮KLPS的有效调查率为84% 成人在驱虫计划开始20年后，治疗臂保持平衡，缓解 主要关注的是不同的自然减员和偏见。 我们将利用面板数据结构来估计主要父母生活事件和冲击的影响-- 如移民、婚姻分离、失业--对其子女的认知和发展结果的影响。 在任何情况下，能够获得父母和孩子随着时间的重复测量都是不寻常的，但 特别是在低收入和中等收入国家(LMIC)，我们的目标是创造首屈一指的代际 撒哈拉以南非洲的纵向数据集。匹配的父子数据还将使我们能够估计 父母(在小学时)在相同认知测试中的表现之间的相关性 学校)和他们自己的学龄儿童。 我们建议收集6,500名成人调查受访者(年龄在35-43岁)的KLPS5轮和第二轮 对5,000多名儿童(6-13岁)进行调查和评估。KLPS样本包含个体 谁参加了上述小学驱虫计划(PSDP)，还有一些人 参加了一项无条件的现金补助计划。以前的研究表明，驱虫有很大的 对受益者的健康、教育、生活水平、城市居住和收入产生积极影响10-20 几年后，现金补助计划对收入产生了积极的短期影响。我们还实现了两个 亲子干预(促进阅读和促进睡眠)，并将估计中期运行(4-5 这些干预措施对儿童学习和发展的影响。所有这些的随机设计 干预措施解决了混淆的关键方法问题。健康对健康的长期因果影响 由于在组合中几乎没有实验变异，生命结局很少被证明。 以及关于受助者和儿童的详细纵向数据。关于长期直接和 代际影响对于评估儿童健康方案的成本效益至关重要。

Project Summary/Abstract This project will study the long-term effects of a child health program on recipients’ living standards, labor supply, health, marriage and fertility and other life outcomes. The project extends a longitudinal (panel) dataset of participants in a randomized health intervention (primary school-based deworming) when they were 8-15 years old. A novel aspect of the project is its intergenerational linkages: the dataset, the Kenya Life Panel Survey (KLPS), contains detailed information on health, nutritional, educational, demographic, and labor market outcomes for over 6,500 Kenyans during 1998-2021, and the health, behavioral and cognitive development of their 3-9 year old children (collected 2018-2021). The resulting 28-year longitudinal dataset will allow the study team to exploit experimental variation to estimate the long-run and intergenerational impacts of a child health intervention. Critically, the most recent KLPS round had an effective survey rate of 84% among adults 20 years after the start of the deworming program, with balance across treatment arms, alleviating leading concerns about differential attrition and bias. We will make use of the panel data structure to estimate the effects of major parental life events and shocks -- such as migration, marital separation, job loss -- on the cognitive and development outcomes of their children. Having access to repeated measures of both parents and children over time is unusual in any context but especially in low and middle income countries (LMICs), and we aim to create the premier intergenerational longitudinal dataset in Sub-Saharan Africa. The matched parent-child data will also allow us to estimate the correlation between performance on the same cognitive tests taken by parents (when they were in primary school) and their own school-age children. We propose to collect KLPS Round 5 with 6,500 adult survey respondents (aged 35-43) and a second round of surveys and assessments with over 5,000 of their children (aged 6-13). The KLPS sample contains individuals who participated in the Primary School Deworming Program (PSDP) mentioned above, and some who participated in an unconditional cash grant program. Previous research shows that deworming had substantial positive impacts on the health, schooling, living standards, urban residence and earnings of beneficiaries 10-20 years later; the cash grant program had positive short-run impacts on earnings. We also implemented two parent-child interventions (reading promotion and sleep promotion), and will estimate the medium-run (4-5 year) impacts of these interventions on child learning and development. The randomized design of all of these interventions addresses the key methodological problem of confounding. Causal long-run effects of health on life outcomes have rarely been demonstrated due to the near absence of experimental variation in combination with detailed longitudinal data on recipients and children. Accurate information on long-term direct and intergenerational impacts is essential for assessing the cost-effectiveness of child health programs.