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.

FNS developed the Access, Participation, Eligibility and Certification (APEC) study series, which collects and analyzes data from a nationally representative sample of schools and school food authorities (SFAs) about every 5 years. APEC allows FNS to develop a national estimate of erroneous payment rates and amounts in three key areas: certification error, meal claiming error and aggregation error.  FNS recently completed APEC II, which collected data in School Year 2012-2013 and this report summarizes those findings.

The purpose of this study is to describe current methods of direct certification used by state and local agencies and challenges facing states and local education agencies in attaining high matching rates. 

The Healthy, Hunger-Free Kids Act directed USDA to study the extent to which school food authorities  participating in the National School Lunch and School Breakfast programs pay indirect costs to local education agencies. It specifically requested an assessment of the methodologies used to establish indirect costs, the types and amounts of indirect costs that are charged and not charged to the school foodservice account, and the types and amounts of indirect costs recovered by LEAs.

The study collected data on-site on food, labor, and other meal production costs for a five day period. A major goal was to test the feasibility of identifying meal production costs that were not charged to the SFA account (to obtain full costs) and directly allocating costs to different SFA activities.