2018
DOI: 10.3386/w25143
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Errors in Survey Reporting and Imputation and their Effects on Estimates of Food Stamp Program Participation

Abstract: Any opinions expressed in this paper are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but IZA takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The IZA Institute of Labor Economics is an independent economic research institute that conducts research in labor economics and offers evidence-based policy advice on labor market issues. Supported by the Deutsche Post Founda… Show more

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Cited by 79 publications
(105 citation statements)
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“…The false negative rates are 11.65% using ADMIN and 11.46% using ALERT, while the false positive rates are 8.39% using ADMIN and 7.83% using ALERT. Interestingly, for both participation measures, the prevalence of false negatives is substantially lower than previously reported by studies using more traditional survey data sets (Mittag, ; Meyer, Mittag, and George ). One possible explanation is that FoodAPS households were asked to consent to having their responses verified.…”
Section: Sensitivity Of Participation and Misreporting Ratescontrasting
confidence: 62%
“…The false negative rates are 11.65% using ADMIN and 11.46% using ALERT, while the false positive rates are 8.39% using ADMIN and 7.83% using ALERT. Interestingly, for both participation measures, the prevalence of false negatives is substantially lower than previously reported by studies using more traditional survey data sets (Mittag, ; Meyer, Mittag, and George ). One possible explanation is that FoodAPS households were asked to consent to having their responses verified.…”
Section: Sensitivity Of Participation and Misreporting Ratescontrasting
confidence: 62%
“…With our focus on the family we make the implicit assumption of resource sharing within the household such that all members benefit from SNAP even if they are not directly a recipient. Ziliak (2015b) shows that from 1980 to 2000, population-weighted participation rates were broadly comparable to administrative data, but over the past decade there has been a divergence in the levels, though not in trends (the levels gap was previously highlighted in Wheaton (2007) and Meyer et al (2014)). Information on the EITC and the refundable portion of the CTC are not collected in the ASEC, and thus we rely on simulated eligibility based on the NBER’s TAXSIM model.…”
Section: Empirical Model and Datamentioning
confidence: 90%
“…Thus, we cannot determine the extent of or adjust for missed links, because we cannot distinguish survey records that did not link to the administrative data because they do not receive SNAP, from survey records that did not link due to missing or incorrect personal information. See Meyer and Mittag () for further discussion and Meyer et al () for arguments why such missed links likely understate net differences between the data sources. Twenty‐one households in our sample did not provide consent to record linkage.…”
Section: Data and Linkagementioning
confidence: 99%
“…These studies reveal high rates of underreporting, showing that sometimes more than half of true Supplemental Nutrition Assistance Program (SNAP) recipients do not report receipt in the survey data. The errors are systematically related to other variables in the surveys, so that they severely bias studies of poverty and program receipt as well as analyses of the safety net and its effectiveness (see e.g., Bollinger and David ; Cerf Harris ; Meyer et al ; Meyer and Mittag ).…”
Section: Introductionmentioning
confidence: 99%