You are what your parents expect: Height and local reference points

IF 9.9 3区 经济学 Q1 ECONOMICS Journal of Econometrics Pub Date : 2024-07-01 DOI:10.1016/j.jeconom.2021.09.020
Fan Wang , Esteban Puentes , Jere R. Behrman , Flávio Cunha
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Abstract

Recent estimates are that about 150 million children under five years of age are stunted, with substantial negative consequences for their schooling, cognitive skills, health, and economic productivity. Therefore, understanding what determines such growth retardation is significant for designing public policies that aim to address this issue. We build a model for nutritional choices and health with reference-dependent preferences. Parents care about the health of their children relative to some reference population. In our empirical model, we use height as the health outcome that parents target. Reference height is an equilibrium object determined by earlier cohorts’ parents’ nutritional choices in the same village. We explore the exogenous variation in reference height produced by a protein-supplementation experiment in Guatemala to estimate our model’s parameters. We use our model to decompose the impact of the protein intervention on height into price and reference-point effects. We find that the changes in reference points account for 65% of the height difference between two-year-old children in experimental and control villages in the sixth annual cohort born after the initiation of the intervention.

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你就是你父母所期望的:身高和当地参考点
据最新估计,约有 1.5 亿五岁以下儿童发育迟缓,这对他们的学业、认知技能、健康和经济生产力造成了严重的负面影响。因此,了解这种生长迟缓的决定因素对于制定旨在解决这一问题的公共政策意义重大。我们建立了一个营养选择和健康模型,该模型具有依赖参考的偏好。父母关心的是子女相对于某个参照人群的健康状况。在我们的实证模型中,我们将身高作为父母的健康目标。参考身高是由同村前几代父母的营养选择决定的均衡对象。我们利用危地马拉蛋白质补充实验所产生的参考身高的外生变化来估计模型参数。我们利用模型将蛋白质干预对身高的影响分解为价格效应和参考点效应。我们发现,在干预措施启动后出生的第六年组群中,实验村和对照村两岁儿童身高差异的 65% 是由参考点的变化造成的。
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来源期刊
Journal of Econometrics
Journal of Econometrics 社会科学-数学跨学科应用
CiteScore
8.60
自引率
1.60%
发文量
220
审稿时长
3-8 weeks
期刊介绍: The Journal of Econometrics serves as an outlet for important, high quality, new research in both theoretical and applied econometrics. The scope of the Journal includes papers dealing with identification, estimation, testing, decision, and prediction issues encountered in economic research. Classical Bayesian statistics, and machine learning methods, are decidedly within the range of the Journal''s interests. The Annals of Econometrics is a supplement to the Journal of Econometrics.
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