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

DOI10.1080/01621459.2012.682828zbMath1395.62342OpenAlexW1983208708MaRDI QIDQ4648539

Dean Jolliffe, Brent Kreider, Craig Gundersen, John V. Pepper

Publication date: 9 November 2012

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1632&context=econ_las_pubs

zbMATH Keywords

partial identificationtreatment effectnonparametric boundsnonclassical measurement errorfood insecurityhealth outcomesfood stamp programsupplemental nutrition assistance program

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (10)

Does the supplemental nutrition assistance program really increase obesity? The importance of accounting for misclassification errors ⋮ IDENTIFICATION OF REGRESSION MODELS WITH A MISCLASSIFIED AND ENDOGENOUS BINARY REGRESSOR ⋮ Bayesian moment-based inference in a regression model with misclassification error ⋮ Counting rotten apples: student achievement and score manipulation in Italian elementary schools ⋮ Bounding program benefits when participation is misreported ⋮ Heterogeneous treatment effects with mismeasured endogenous treatment ⋮ Misreported schooling, multiple measures and returns to educational qualifications ⋮ On the estimation of treatment effects with endogenous misreporting ⋮ Identifying the effect of a mis-classified, binary, endogenous regressor ⋮ The impact of the National School Lunch Program on child health: a nonparametric bounds analysis

Cites Work

• Partial identification of probability distributions with misclassified data
• The impact of the National School Lunch Program on child health: a nonparametric bounds analysis
• Bounding mean regressions when a binary regressor is mismeasured
• Impossibility Results for Nondifferentiable Functionals
• Partial Identification in Triangular Systems of Equations With Binary Dependent Variables
• Missing Treatments
• More on monotone instrumental variables
• Monotone Treatment Response
• Monotone Instrumental Variables: With an Application to the Returns to Schooling
• Identification and Robustness with Contaminated and Corrupted Data
• Disability and Employment
• Estimating Income Poverty in the Presence of Missing Data and Measurement Error
• Confidence Intervals for Partially Identified Parameters

This page was built for publication: Identifying the Effects of SNAP (Food Stamps) on Child Health Outcomes When Participation Is Endogenous and Misreported