This report examines patterns of SNAP benefit redemption in fiscal year 2017 and compares those patterns with findings from two similar studies conducted for fiscal years 2003 and 2009.
The aim of this IPERA compliance reporting feasibility study is to develop a reliable method of assessment of erroneous meal claims in CACFP-Family Day Care Homes, test the method on a sample of FDCHs for the purpose of estimating the rate of improper payments and provide annual estimates of erroneous payments. Specifically, the study focuses on accurately estimating meals that are claimed but not served.
The Administrative Review is the process state agencies use to assess compliance with federal requirements of SFAs participating in the National School Lunch Program and the School Breakfast Program. This study assesses the AR process by examining the results from a purposive sample of ARs. The study also describes in-depth how nine selected state agencies conduct their ARs, and ways the process could be further improved.
FNS provides state administrative expense (SAE) funds to state agencies to support administration and oversight of federal child nutrition programs in their state. This study examines the formula used for allocations of SAE funds, identifies factors that influence state agency spending, and presents a series of options for consideration to potentially improve SAE allocations and procedures.
As required by federal law, state SNAP agencies verify financial and non-financial information by matching SNAP applicant and participant information to various national and state data sources to ensure they meet the program’s eligibility criteria. Data matching is an important tool for ensuring program integrity and benefit accuracy. However, information on states’ data matching practices and protocols is limited. This study was undertaken to address this knowledge gap.
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 uses calendar year 2011 point-of-sale transaction data from a leading grocery retailer to examine the food choices of SNAP and non-SNAP households . On average, each month's transaction data contained over 1 billion records of food items bought by 26.5 million households in 127 million unique transactions.
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 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.