SNAP 对膳食质量的分布影响

IF 4.5 3区 经济学 Q1 AGRICULTURAL ECONOMICS & POLICY Agricultural Economics Pub Date : 2023-11-10 DOI:10.1111/agec.12808
Jinglin Feng, Linlin Fan, Edward C. Jaenicke
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引用次数: 0

摘要

补充营养援助计划(SNAP)是美国最大的针对低收入美国人的国内食品和营养援助计划。近期有关 SNAP 对膳食质量影响的研究主要集中在平均影响方面。我们利用美国农业部的 2012 年全国家庭食品获取和购买调查(FoodAPS)和无条件量化估算器,研究了 SNAP 对以健康饮食指数-2010(HEI-2010)衡量的膳食质量的分布性影响。为了确定 SNAP 对膳食质量分布的不同影响,我们利用各州每周最高失业保险金和州人均推广支出的外生变化作为工具变量。我们发现,SNAP 对家庭的平均膳食质量没有显著影响。然而,对于最初膳食质量处于中下水平的家庭来说,SNAP 的参与使他们的 HEI 分数降低了 17% 以上,即在总分 100 分中降低了 7 分以上。SNAP 对这些 HEI 量级的负面影响主要是由于空卡路里摄入量的增加。
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The distributional impact of SNAP on dietary quality

The Supplemental Nutrition Assistance Program (SNAP) is the nation's largest domestic food and nutrition assistance program for low-income Americans. Recent studies that examined the effect of SNAP on dietary quality focus on the average effects. Using the USDA's 2012 National Household Food Acquisition and Purchase Survey (FoodAPS) and an unconditional quantile estimator, we examine the distributional impacts of SNAP on dietary quality as measured by Healthy Eating Index-2010 (HEI-2010). To identify the differential impacts of SNAP across the distribution of dietary quality, we exploit exogenous variation in state's maximum weekly unemployment insurance benefits and state outreach spending per capita as instrumental variables. We find that SNAP has no significant impact on households’ dietary quality on average. However, for households with initially low-to-intermediate dietary quality, SNAP participation reduces their HEI scores by over 17% or more than 7 points out of a total score of 100. The negative impacts of SNAP on these HEI quantiles are mainly driven by an increased acquisition of empty calories.

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来源期刊
Agricultural Economics
Agricultural Economics 管理科学-农业经济与政策
CiteScore
7.30
自引率
4.90%
发文量
62
审稿时长
3 months
期刊介绍: Agricultural Economics aims to disseminate the most important research results and policy analyses in our discipline, from all regions of the world. Topical coverage ranges from consumption and nutrition to land use and the environment, at every scale of analysis from households to markets and the macro-economy. Applicable methodologies include econometric estimation and statistical hypothesis testing, optimization and simulation models, descriptive reviews and policy analyses. We particularly encourage submission of empirical work that can be replicated and tested by others.
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