Statistical Matching as a Supplement to Record Linkage: A Valuable Method to Tackle Nonconsent Bias?
Statistical Matching as a Supplement to Record Linkage: A Valuable Method to Tackle Nonconsent Bias?
复制标题
统计匹配作为记录链接的补充：解决非同意偏见的宝贵方法？
DOI：
10.2478/jos-2018-0045
复制
发表时间：
2018
影响因子：
1.1
通讯作者：
J. Sakshaug
中科院分区：
文献类型：
--
作者：
Jonathan Gessendorfer;Jonas Beste;Jörg Drechsler;J. Sakshaug
摘要文献联系已成为增加社会科学研究机会的重要工具。将记录与行政记录联系起来的调查往往需要征得答复者的知情同意，然后才能建立联系。一个主要的担忧是，不同意可能会在基于关联数据的分析中引入偏见。克服不同意造成的数据缺失问题的一个简单策略是，将不同意的人与目标管理数据库中统计上相似的单位进行匹配。为了评估统计匹配在这方面的有效性，我们使用了两个德国小组调查的数据，这两个调查已经链接到德国联邦就业局的行政数据库。我们评估了不同人工非同意情景下的统计匹配过程，并表明该方法可以有效地减少边缘分布中的非同意偏差，但多变量估计中的偏差有时会恶化。我们讨论了这些发现对调查实践的影响，并阐述了在联系不同意的情况下实施统计匹配程序的一些实际挑战。所开发的模拟设计可作为其他统计机构考虑其数据的拟议方法的路线图。
Abstract Record linkage has become an important tool for increasing research opportunities in the social sciences. Surveys that perform record linkage to administrative records are often required to obtain informed consent from respondents prior to linkage. A major concern is that nonconsent could introduce biases in analyses based on the linked data. One straightforward strategy to overcome the missing data problem created by nonconsent is to match nonconsenters with statistically similar units in the target administrative database. To assess the effectiveness of statistical matching in this context, we use data from two German panel surveys that have been linked to an administrative database of the German Federal Employment Agency. We evaluate the statistical matching procedure under various artificial nonconsent scenarios and show that the method can be effective in reducing nonconsent biases in marginal distributions, but that biases in multivariate estimates can sometimes be worsened. We discuss the implications of these findings for survey practice and elaborate on some of the practical challenges of implementing the statistical matching procedure in the context of linkage nonconsent. The developed simulation design can act as a roadmap for other statistical agencies considering the proposed approach for their data.
探索访谈员和自我管理的调查模式对记录关联同意率和偏差的影响
影响因子：
4.8
作者：
Sakshaug;S. Hülle;A. Schmucker;S. Liebig
通讯作者：
S. Liebig