Multiple Visits and Data Quality in Household Surveys
Multiple Visits and Data Quality in Household Surveys
复制标题
家庭调查中的多次访问和数据质量
DOI：
10.1111/obes.12196
复制
发表时间：
2018
影响因子：
2.5
通讯作者：
Matthias Schündeln
中科院分区：
文献类型：
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作者：
Matthias Schündeln
为了提高数据质量，一些家庭调查会多次访问受访家庭，以估算一项消费指标。例如，在加纳生活水平衡量调查中，1 个月内访问家庭多达 10 次。我发现了这种方法产生的条件作用的有力证据：在加纳的数据中，估计的消费水平是先前访问次数的函数，早期调查访问中的消费量最高。伸缩（认为事件比实际发生的事件更新）或季节性（月初效应）无法解释观察到的模式。为了研究较早或较晚的调查访问质量是否更高，我采用了基于本福德定律的策略。结果表明，早期调查访问的消费数据比后期访问的数据质量更高。这些发现对家庭调查中额外访问的价值具有影响，也揭示了高频面板中可能存在的测量问题。他们补充了最近关于消费调查测量误差的文献（Beegle 等人，2012 年；Gibson 等人，2015 年），并补充了 Zwane 等人的研究结果。 （2011）关于调查对后续行为的影响。
In order to increase data quality some household surveys visit the respondent households several times to estimate one measure of consumption. For example, in Ghanaian Living Standards Measurement surveys, households are visited up to 10 times over a period of 1 month. I find strong evidence for conditioning effects as a result of this approach: In the Ghanaian data the estimated level of consumption is a function of the number of prior visits, with consumption being highest in the earlier survey visits. Telescoping (perceiving events as being more recent than they are) or seasonality (first‐of‐the‐month effects) cannot explain the observed pattern. To study whether earlier or later survey visits are of higher quality, I employ a strategy based on Benford's law. Results suggest that the consumption data from earlier survey visits are of higher quality than data from later visits. The findings have implications for the value of additional visits in household surveys, and also shed light on possible measurement problems in high‐frequency panels. They add to a recent literature on measurement errors in consumption surveys (Beegle et al., 2012, Gibson et al., 2015), and complement findings by Zwane et al. (2011) regarding the effect of surveys on subsequent behaviour.