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来源类型Working Paper
规范类型报告
DOI10.3386/w29652
来源IDWorking Paper 29652
What Leads to Measurement Errors? Evidence from Reports of Program Participation in Three Surveys
Pablo A. Celhay; Bruce D. Meyer; Nikolas Mittag
发表日期2022-01-17
出版年2022
语种英语
摘要Measurement errors are often a large source of bias in survey data. Lack of knowledge of the determinants of such errors makes it difficult for data producers to reduce the extent of errors and for data users to assess the validity of analyses using the data. We study the determinants of reporting error using high quality administrative data on government transfers linked to three major U.S. surveys. Our results support several theories of misreporting: Errors are related to event recall, forward and backward telescoping, salience of receipt, the stigma of reporting participation in welfare programs and respondent’s degree of cooperation with the survey overall. We provide evidence on how survey design choices affect reporting errors. Our findings help survey users to gauge the reliability of their data and to devise estimation strategies that can correct for systematic errors, such as instrumental variable approaches. Understanding survey errors allows survey producers to reduce them by improving survey design. Our results indicate that survey producers should take into account that higher response rates as well as collecting more detailed information may have negative effects on survey accuracy.
主题Econometrics ; Data Collection ; Microeconomics ; Market Structure and Distribution ; Health, Education, and Welfare ; Poverty and Wellbeing
URLhttps://www.nber.org/papers/w29652
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/587326
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Pablo A. Celhay,Bruce D. Meyer,Nikolas Mittag. What Leads to Measurement Errors? Evidence from Reports of Program Participation in Three Surveys. 2022.
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