This study examines the feasibility of expanding the use of computer matching for certification and verification of children eligible for free and reduced-price meals funded under the National School Lunch Program. This study provides a detailed description of how computer matching is currently used and how it could be used.
The Improper Payments Information Act of 2002 requires all federal agencies to calculate the amount of erroneous payments in federal programs and to periodically conduct detailed assessments of vulnerable program components. This program assessment of the Family Day Care Home component of USDA's Child and Adult Care Food Program provides a national estimate of the share of CACFP family day care homes that are in the wrong reimbursement tier.
This is the first of a series of annual reports which will assess the administrative error associated with school food authorities’ approval of applications for free and reduced-price school meals. More than 95 percent of students who were approved for benefits on the basis of an application were receiving correct benefits, based on the information in the application files. In school year 2004-05, 3.5 percent of all students who submitted an application for free/reduced-price meal benefits had an administrative error in the processing of their applications,
FNS uses a set of EBT-based administrative tools and undercover investigations to identify and sanction trafficking retailers, and to estimate the extent of trafficking. The estimates of the amount of trafficking, the trafficking rate, and the store violation rate reported here are based on information from almost 33,000 stores subject to administrative or undercover investigation from late 2002 through 2005.
This is the first of a series of annual reports which will assess the administrative error associated with school food authorities’ approval of applications for free and reduced-price school meals. More than 95 percent of students who were approved for benefits on the basis of an application were receiving correct benefits, based on the information in the application files. In school year 2004/05, 3.5 percent of all students who submitted an application for free/reduced-price meal benefits had an administrative error in the processing of their applications.
A summary of past research on program operations and outcomes related to the Food Stamp Program.
Most discussion of payment accuracy in the Food Stamp Program focuses on the overall level and cost of payment errors. Rarely does the discussion focus on the impact of payment errors on individual households affected. This analysis – based on 2003 food stamp quality control data – leads to two broad conclusions. First, virtually all households receiving food stamps are eligible. Thus, the problem of erroneous payments is not so much one of determining eligibility, but rather one of attempting to finely target benefits to the complicated and changing circumstances of low-income households. Second, most overpayments to eligible households are small relative to household income and official poverty standards. As a result, most food stamp households are poor, and they remain poor even when overpaid.
The Child Nutrition and WIC Reauthorization Act of 2004 directed the Secretary of Agriculture to conduct a study of the feasibility of using computer technology to reduce over-certification, waste, fraud and abuse in the National School Lunch Program.
USDA sponsored the NSLP Application/Verification Pilot Projects to test ways to improve the process for certifying students for free or reduced-price meals. This report presents findings on the impacts of two alternatives to the current application-based certification process - Up-Front Documentation and Graduated Verification - that were tested in 12 public school districts over a three-year period.
This report presents the results of a case study of verification in 21 large metropolitan SFAs around the country. The study examined outcomes of the verification process and made an independent assessment of income eligibility of households with specific verification outcomes using data from in-person interviews with families.