全球智库信息集成服务系统(G2TT): An Empirical Total Survey Error Decomposition Using Data Combination

G2TT

来源类型	Working Paper
规范类型	报告
DOI	10.3386/w25737
来源ID	Working Paper 25737
	An Empirical Total Survey Error Decomposition Using Data Combination
	Bruce D. Meyer; Nikolas Mittag
发表日期	2019-04-15
出版年	2019
语种	英语
摘要	Survey error is known to be pervasive and to bias even simple, but important estimates of means, rates, and totals, such as the poverty and the unemployment rate. To summarize and analyze the extent, sources, and consequences of survey error, we define empirical counterparts of key components of the Total Survey Error Framework that can be estimated using data combination. Specifically, we estimate total survey error and decompose it into three high level sources of error: generalized coverage error, item non-response error and measurement error. We further decompose these sources into lower level sources such as a failure to report a positive amount and errors in amounts conditional on reporting a positive value. For error in dollars paid by two large government transfer programs, we use administrative records on the universe of program payments in New York State linked to three major household surveys to estimate the error components we define. We find that total survey error is large and varies in its size and composition, but measurement error is always by far the largest source of error. Our application shows that data combination makes it possible to routinely measure total survey error and its components. The results allow survey producers to assess error reduction strategies and survey users to mitigate the consequences of survey errors or gauge the reliability of their conclusions.
主题	Econometrics ; Data Collection ; Microeconomics ; Market Structure and Distribution ; Health, Education, and Welfare ; Poverty and Wellbeing
URL	https://www.nber.org/papers/w25737
来源智库	National Bureau of Economic Research (United States)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/583411
推荐引用方式 GB/T 7714	Bruce D. Meyer,Nikolas Mittag. An Empirical Total Survey Error Decomposition Using Data Combination. 2019.

条目包含的文件
文件名称/大小	资源类型	版本类型	开放类型	使用许可
w25737.pdf（521KB）	智库出版物		限制开放	CC BY-NC-SA	浏览