Department of Agricultural and Consumer Economics, University of Illinois, Urbana-Champaign, USA.
Oxford Department of International Development, University of Oxford, Oxford, UK.
Econ Hum Biol. 2024 Aug;54:101407. doi: 10.1016/j.ehb.2024.101407. Epub 2024 Jun 4.
Global warming is changing precipitation patterns, particularly harming communities in low-and-middle income countries (LMICs). Whilst the long-term effects of being exposed to rainfall shocks early in life on school-achievement tests are well-established, there is little population-based evidence from LMICs on the mechanisms through which these shocks operate. Executive functions (EFs) are key for children's learning abilities. This paper analyses the effects of early exposure to rainfall shocks on four foundational cognitive skills (FCSs), including EFs that have been found to be key predictors of educational success. These skills were measured via a series of tablet-based tasks administered in Peru as part of the Young Lives longitudinal study (YLS). We combine the YLS data with gridded data on monthly precipitation to generate monthly, community-level rainfall shock estimates. The key identification strategy relies on temporary climatic shocks being uncorrelated with other latent determinants of FCSs development. Our results show significant negative effects of early life exposure to rainfall shocks on EFs-especially, on working memory-measured in later childhood. We also find evidence of rainfall shocks decreasing households' abilities to invest in human capital, which may affect both FCSs and domain-specific test scores. Finally, there is suggestive, but not conclusive, evidence that a conditional-cash-transfer program providing poor households with additional financial resources might partially offset the effects of the rainfall shocks.
全球变暖正在改变降水模式,尤其对中低收入国家(LMICs)的社区造成危害。尽管生命早期暴露于降雨冲击对学业成绩测试的长期影响已得到充分证实,但从 LMICs 获得的有关这些冲击作用机制的人口证据很少。执行功能(EFs)是儿童学习能力的关键。本文分析了早期暴露于降雨冲击对四项基础认知技能(FCSs)的影响,包括被发现是教育成功关键预测因素的 EFs。这些技能通过在秘鲁进行的 Young Lives 纵向研究(YLS)中的一系列基于平板电脑的任务进行测量。我们将 YLS 数据与逐月降水的网格化数据相结合,生成每月社区层面的降雨冲击估计。关键的识别策略依赖于暂时的气候冲击与 FCSs 发展的其他潜在决定因素不相关。我们的研究结果表明,生命早期暴露于降雨冲击对执行功能,尤其是在后期儿童时期测量的工作记忆,有显著的负面影响。我们还发现,降雨冲击降低了家庭在人力资本方面的投资能力,这可能会影响 FCSs 和特定领域的考试成绩。最后,有一定但不确凿的证据表明,为贫困家庭提供额外财政资源的有条件现金转移计划可能会部分抵消降雨冲击的影响。