This report responds to the requirement of PL 110-246 to assess the effectiveness of state and local efforts to directly certify children for free school meals. Direct certification is a process conducted by the states and by local educational agencies to certify eligible children for free meals without the need for household applications.
Statistical models were designed to estimate national improper payments due to certification error on an annual basis using district-level data. This enables FNS to update its estimates of national improper payment rates for the NSLP and SBP in future years without having to conduct full rounds of primary data collection.
This study — mandated by Section 4022 of the Agricultural Act of 2014 — reviews research on employment and training program components and practices that: (1) assist members of households participating in SNAP to obtain regular employment; and (2) are best integrated with state workforce development systems.
This study examined the feasibility of creating a data collection system capable of directly and automatically providing USDA with item-level data on purchases made by SNAP households. Data would be captured at the point of sale from purchases made using EBT cards.
The Special Nutrition Program Operations Study is a multiyear study designed to provide the Food and Nutrition Service with a snapshot of current state and school food authority policies and practices of the school meal programs, including information on school meal standards, competitive foods standards, professional standards, school lunch pricing and accounting, and Smarter Lunchrooms activities.
The information in this second year report (school year 2012-13), the first year new lunch standards were implemented, will provide data for observing the improvements resulting from the implementation of the Healthy, Hunger-Free Kids Act. Data was collected from a survey of all state child nutrition directors and a nationally representative sample of school food authorities.
The second Access, Participation, Eligibility and Certification Study (APEC II) included a follow-on report that provided statistically-derived state-level estimates of school meals erroneous payments. However, while APEC II provided a rough indicator of relative risk for groups of states (e.g., higher than average, about average, lower than average), it was not a state-representative direct measure, and creating actual annual measures of such erroneous payments at the state level using APEC methodology is cost-prohibitive. This report explores alternative approaches to developing measurement-based state-specific estimates that are responsive to year-to-year changes in the actual underlying rate in each state. It also provides cost and burden estimates for the implementation of each of these methods.
Section 4031 of the Agricultural Act of 2014 required a study to determine the feasibility of operating SNAP, or an alternative model of benefit delivery, in the CNMI. This report assesses the CNMI's capacity to administer SNAP in six key SNAP program areas; describes potential barriers to implementing SNAP and modifications that might be needed; and explores which elements of SNAP could be implemented under the existing block grant structure.
This is the 11th in a series of annual reports that examines the administrative accuracy of eligibility determinations and benefit issuance for free or reduced-price meals in the National School Lunch Program.
The Food and Nutrition Service conducted the Direct Certification with Medicaid (DC-M) demonstration that enables selected States and districts to use household income data from Medicaid files to directly certify students for free school meals. This report focuses on the experiences of States and districts conducting DC-M during School Year (SY) 2013-2014, the second year of the demonstration. It examines whether DC-M leads to changes in the percentage of students certified, the number of meals served, Federal reimbursements, and certification costs incurred by districts. It also assesses State-level administrative costs and identifies the challenges that States and districts face when implementing DC-M.