Identifying the Effects of SNAP (Food Stamps) on Child Health Outcomes When Participation Is Endogenous and Misreported

dc.contributor.author Kreider, Brent
dc.contributor.author Pepper, John
dc.contributor.author Gundersen, Craig
dc.contributor.author Jolliffe, Dean
dc.contributor.department Economics
dc.date 2018-09-07T02:44:13.000
dc.date.accessioned 2020-06-30T02:08:40Z
dc.date.available 2020-06-30T02:08:40Z
dc.date.copyright Sun Jan 01 00:00:00 UTC 2012
dc.date.issued 2012-01-01
dc.description.abstract <p>The literature assessing the efficacy of the Supplemental Nutrition Assistance Program (SNAP), formerly known as the Food Stamp Program, has long puzzled over positive associations between SNAP receipt and various undesirable health outcomes such as food insecurity. Assessing the causal impacts of SNAP, however, is hampered by two key identification problems: endogenous selection into participation and extensive systematic underreporting of participation status. Using data from the National Health and Nutrition Examination Survey (NHANES), we extend partial identification bounding methods to account for these two identification problems in a single unifying framework. Specifically, we derive informative bounds on the average treatment effect of SNAP on child food insecurity, general poor health, obesity, and anemia across a range of different assumptions used to address the selection and classification error problems. In particular, to address the selection problem we apply relatively weak nonparametric assumptions on the latent outcomes, selected treatments, and observed covariates. To address the classification error problem, we formalize a new approach that uses auxiliary administrative data on the size of the SNAP caseload to restrict the magnitudes and patterns of SNAP reporting errors. Layering successively stronger assumptions, an objective of our analysis is to make transparent how the strength of the conclusions varies with the strength of the identifying assumptions. Under the weakest restrictions, there is substantial ambiguity: we cannot rule out the possibility that SNAP increases or decreases poor health. Under stronger but plausible assumptions used to address the selection and classification error problems, we find that commonly cited relationships between SNAP and poor health outcomes provide a misleading picture about the true impacts of the program. Our tightest bounds identify favorable impacts of SNAP on child health.</p>
dc.description.comments <p>This is a manuscript of an article published as Kreider, Brent, John V. Pepper, Craig Gundersen, and Dean Jolliffe. "Identifying the effects of SNAP (food stamps) on child health outcomes when participation is endogenous and misreported." <em>Journal of the American Statistical Association </em>107, no. 499 (2012): 958-975. doi: <a href="https://doi.org/10.1080/01621459.2012.682828">10.1080/01621459.2012.682828</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/econ_las_pubs/636/
dc.identifier.articleid 1632
dc.identifier.contextkey 12744235
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath econ_las_pubs/636
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/21873
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/econ_las_pubs/636/2012_Kreider_IdentifyingEffectsManuscript.pdf|||Sat Jan 15 01:21:03 UTC 2022
dc.source.uri 10.1080/01621459.2012.682828
dc.subject.disciplines Biostatistics
dc.subject.disciplines Food Security
dc.subject.disciplines Food Studies
dc.subject.disciplines Health Economics
dc.subject.disciplines Social Welfare
dc.subject.keywords Supplemental Nutrition Assistance Program
dc.subject.keywords Food Stamp Program
dc.subject.keywords food insecurity
dc.subject.keywords health outcomes
dc.subject.keywords partial identification
dc.subject.keywords treatment effect
dc.subject.keywords nonparametric bounds
dc.subject.keywords nonclassical measurement error
dc.title Identifying the Effects of SNAP (Food Stamps) on Child Health Outcomes When Participation Is Endogenous and Misreported
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication ef53376c-d539-4512-a7ab-7eab4c1b718c
relation.isOrgUnitOfPublication 4c5aa914-a84a-4951-ab5f-3f60f4b65b3d
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