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来源类型Working Paper
规范类型报告
DOI10.3386/w29184
来源IDWorking Paper 29184
Errors in Reporting and Imputation of Government Benefits and Their Implications
Pablo A. Celhay; Bruce D. Meyer; Nikolas Mittag
发表日期2021-08-30
出版年2021
语种英语
摘要We document the extent, nature, and consequences of survey errors in cash welfare and SNAP receipt in three major U.S. household surveys. We find high rates of misreporting, particularly failure to report receipt. The surveys inaccurately capture patterns of multiple program participation, even though there is little evidence of program confusion. Error rates are higher among imputed observations, which account for a large share of false positive errors. Many household characteristics have significant effects on both false positives and false negative errors. Error rates sharply differ by race, ethnicity, income and other household characteristics. The errors greatly affect models of program receipt and estimated effects of income and race are noticeably biased. We examine error due to item non-response and imputation, as well as whether imputation improves estimates. Item non-respondents have higher receipt rates than the population conditional on covariates. The assumptions for consistent estimates in multivariate models fail both when excluding item non-respondents and when using the imputed values. In binary choice models of program receipt, linked data estimates favor excluding item non-respondents rather than using imputed values. Biases are well predicted by the error patterns we document, helping researchers make informed decisions on whether to use imputed values.
主题Econometrics ; Data Collection ; Microeconomics ; Market Structure and Distribution ; Health, Education, and Welfare ; Poverty and Wellbeing
URLhttps://www.nber.org/papers/w29184
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/586857
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Pablo A. Celhay,Bruce D. Meyer,Nikolas Mittag. Errors in Reporting and Imputation of Government Benefits and Their Implications. 2021.
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