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This is the tenth in a series of annual reports to examine administrative errors incurred during the local educational agency’s (LEA) approval process of household applications for free and reduced-price meals in the National School Lunch Program (NSLP). This report examines administrative error estimates in student certification for free and reduced-price NSLP meals.
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.
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.
This is the seventh wave of a program assessment of the family daycare homes in the CACFP, 2011. The assessment provides a national estimate of the share of CACFP-participating family daycare homes that are approved for an incorrect level of per meal reimbursement, or reimbursement "tier," for their circumstances.
The Access, Participation, Eligibility, and Certification study found that one in five children certified for free or reduced- price meals in school year 2005-2006 was erroneously certified or incorrectly denied benefits. This study builds on APEC with three objectives: Develop an econometric model to identify indicators of local education authorities with high risk of certification error. Identify the key relationships between certification error and local characteristics. Provide a Web-based monitoring tool that will apply model parameters to annual Verification Summary Report data.