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Do differences in reported expenditures between household scanner data and expenditure surveys matter in health policy research?

机译:报告的家庭扫描仪数据和支出调查在卫生政策研究中的支出差异吗?

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Household scanner data are increasingly used to inform health policy such as sugar-sweetened beverage taxes. This article examines whether differences in the level of reported expenditures between IRI Consumer Network scanner panel and the Consumer Expenditure Survey (CES) lead to important differences in demand elasticities and policy simulation outcomes. Using each dataset, we estimated a structural consumer demand system with seven food groups and a numeraire good. To compare the two datasets on a level playing field, we went to great lengths to ensure that the explanatory variables in the two demand models were comparably constructed. Results indicate that scanner data households are not consistently more price responsive than the general population and underreported Consumer Network expenditures do not seem to result in systematic differences in price elasticities. The income elasticities are uniformly lower in Consumer Network than in CES for higher income households because of the positive association between income and the degree of underreporting. This, however, has limited effects on uncompensated price elasticities and policy simulations because food budget shares are small for higher income households. Overall, these findings support continued use of household scanner data in health policy research related to effects of price (dis)incentives.
机译:家庭扫描仪数据越来越多地用于为糖类饮料税等健康政策提供信息。本文介绍了IRI消费网络扫描师面板和消费者支出调查(CES)之间报告支出水平的差异导致需求弹性和政策模拟结果的重要差异。使用每个数据集,我们估计了具有七个食物群的结构消费者需求系统和数字良好。要比较级别播放领域的两个数据集,我们的长度很大,以确保两个需求模型中的解释变量相当构造。结果表明,扫描仪数据家庭并不符合普通人口和往期报告的消费者网络支出似乎不会导致价格弹性的系统差异。由于收入与经济程度之间的积极关联,所以收入弹性在消费网络中均匀地低于CES的CES,因为收入与潜在报表之间的积极联系。然而,这对未补偿的价格弹性和政策模拟产生有限的影响,因为粮食预算股较为较高的收入家庭。总体而言,这些调查结果支持继续利用与价格(DIS)激励措施的影响有关的健康政策研究中的家庭扫描仪数据。

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