全球智库信息集成服务系统(G2TT): Combining Administrative and Survey Data to Improve Income Measurement

G2TT

来源类型	Working Paper
规范类型	报告
DOI	10.3386/w25738
来源ID	Working Paper 25738
	Combining Administrative and Survey Data to Improve Income Measurement
	Bruce D. Meyer; Nikolas Mittag
发表日期	2019-04-15
出版年	2019
语种	英语
摘要	We describe methods of combining administrative and survey data to improve the measurement of income. We begin by decomposing the total survey error in the mean of survey reports of dollars received from a government transfer program. We decompose this error into three parts, generalized coverage error (which combines coverage and unit non-response error and any error from weighting), item non-response or imputation error, and measurement error. We then discuss these three sources of error in turn and how linked administrative and survey data can assess and reduce each of these sources. We then illustrate the potential of linked data by showing how using linked administrative variables improves the measurement of income and poverty in the Current Population Survey, focusing on the substitution of administrative for survey data for three government transfer programs. Finally, we discuss how one can examine the accuracy of the underlying links used in the combined data.
主题	Econometrics ; Data Collection ; Microeconomics ; Market Structure and Distribution ; Health, Education, and Welfare ; Poverty and Wellbeing
URL	https://www.nber.org/papers/w25738
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/583412
推荐引用方式 GB/T 7714	Bruce D. Meyer,Nikolas Mittag. Combining Administrative and Survey Data to Improve Income Measurement. 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
w25738.pdf（464KB）	智库出版物		限制开放	CC BY-NC-SA	浏览