Hunger relief: A natural experiment from additional SNAP benefits during the COVID-19 pandemic.
Hunger relief: A natural experiment from additional SNAP benefits during the COVID-19 pandemic.
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饥饿缓解：在19日大流行期间，自然实验来自其他快速益处。
DOI：
10.1016/j.lana.2022.100224
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发表时间：
2022-06
期刊：
影响因子：
--
通讯作者：
Follett L
中科院分区：
文献类型：
--
作者：
Bryant A;Follett L
COVID-19直接影响了数百万人。其他人则受到间接影响;例如，这一流行病导致饥饿人数惊人地增加。许多国家都试图通过公共政策来缓解这一问题。这项研究考察了美国增强补充营养援助计划（SNAP）的有效性，以减轻饥饿。使用美国人口普查局的双周横断面调查和相应的人口权重，我们估计了增强SNAP福利对美国饥饿的影响。我们使用贝叶斯结构时间序列分析来预测食物不足的反事实值。我们通过研究增强SNAP福利对观察到的美国中型城市食品储藏室网络访问的影响来补充这些发现。我们的主要研究结果估计，2021年1月颁布的SNAP福利增加15%，每周在全国范围内总共防止了85万（95%可信区间为24- 146万）例食物不足。其次，我们发现与SNAP福利增加和当地食品储藏室访问相关的类似影响。具体来说，增强SNAP的好处导致更少的访问食品储藏室网络比在反事实模型中预测的。这些结果不仅表明为缓解COVID-19大流行造成的饥饿而颁布的政策有所帮助，而且还量化了这些好处在全国范围内的帮助程度。因此，政策制定者可以利用这些数据来衡量未来的大规模政策行动。没有。
COVID-19 has directly affected millions of people. Others have been indirectly affected; for example, there has been a startling increase in hunger brought about by the pandemic. Many countries have sought to relieve this problem through public policy. This research examines the effectiveness of enhanced Supplemental Nutrition Assistance Program (SNAP) benefits in the U.S. to alleviate hunger. Using a biweekly cross-sectional survey and corresponding population weights from the U.S. Census Bureau, we estimate the effects of enhanced SNAP benefits on hunger in the U.S. as measured by food insufficiency. We use a Bayesian structural time series analysis to predict counterfactual values of food insufficiency. We supplement these findings by examining the effect of enhanced SNAP benefits on observed visits to a food pantry network in a midsized U.S. city. Our primary finding estimates that nationwide a total 850,000 (95% credible interval 0·24–1·46 million) instances of food insufficiency were prevented per week by the 15 percent increase in SNAP benefits enacted in January 2021. Secondarily, we find similar effects associated with SNAP benefit increases and local food pantry visits. Specifically, enhanced SNAP benefits resulted in fewer visits to the food pantry network than were predicted in the counterfactual model. These results not only indicate that the policies enacted to mitigate hunger caused by the COVID-19 pandemic helped, but also quantifies how much these benefits helped on a national scale. As a result, policymakers can use this data to benchmark future policy actions at scale. None.
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