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Identifying the Effects of SNAP (Food Stamps) on Child Health Outcomes When Participation Is Endogenous and Misreported

参与内生且存在误报时 SNAP 对儿童健康的效应识别

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代码、数据与补充材料

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关注这篇论文的作者
Brent Kreider
John V. Pepper
Craig Gundersen
Dean Jolliffe

参与内生且存在误报时 SNAP 对儿童健康的效应识别

研究问题
SNAP 参与存在内生选择与系统性漏报时,如何识别其对儿童食物不安全、健康不佳、肥胖和贫血的平均处理效应?
方法与思路
作者统一扩展部分识别界方法,以非参数限制处理选择问题,并利用行政参与总量信息约束误报规模和模式。
材料陈述的贡献
摘要称,较弱限制下效应方向仍不明确;逐步增强假设后的最紧界支持有利健康效应,并展示结论对假设强度的依赖。
阅读关注点
应核对每层选择与误分类假设、行政数据和调查总体的对应关系,以及各健康结局的界如何随假设变化。
阅读边界
仅据版本未注明的 OpenAlex 索引摘要;不能推断刊本变化。有利效应依赖较强限制,摘要未列假设或区间数值,不能视为无条件结论。

原文摘要

The literature assessing the efficacy of the Supplemental Nutrition Assistance Program (SNAP), formerly known as the Food Stamp Program, has long puzzled over positive associations between SNAP receipt and various undesirable health outcomes such as food insecurity. Assessing the causal impacts of SNAP, however, is hampered by two key identification problems: endogenous selection into participation and extensive systematic underreporting of participation status. Using data from the National Health and Nutrition Examination Survey (NHANES), we extend partial identification bounding methods to account for these two identification problems in a single unifying framework. Specifically, we derive informative bounds on the average treatment effect (ATE) of SNAP on child food insecurity, poor general health, obesity, and anemia across a range of different assumptions used to address the selection and classification error problems. In particular, to address the selection problem, we apply relatively weak nonparametric assumptions on the latent outcomes, selected treatments, and observed covariates. To address the classification error problem, we formalize a new approach that uses auxiliary administrative data on the size of the SNAP caseload to restrict the magnitudes and patterns of SNAP reporting errors. Layering successively stronger assumptions, an objective of our analysis is to make transparent how the strength of the conclusions varies with the strength of the identifying assumptions. Under the weakest restrictions, there is substantial ambiguity; we cannot rule out the possibility that SNAP increases or decreases poor health. Under stronger but plausible assumptions used to address the selection and classification error problems, we find that commonly cited relationships between SNAP and poor health outcomes provide a misleading picture about the true impacts of the program. Our tightest bounds identify favorable impacts of SNAP on child health.

笔记与分组