To explore other options for assessing impacts, we awarded a contract to provide us with new information on: experiences and satisfaction of participants in FNS programs, and impacts of program participation on reducing hunger, diet quality, and other indicators of household well-being.
This report is the latest in a series of publications presenting estimates of the percentage of eligible persons, by state, who participate in the Food Stamp Program. The participation rate – a ratio of the number of participants to the number of people eligible for benefits – is an important measure of program performance.
Low participation rates among low-income people eligible for food stamp benefits have prompted a number of outreach and public education efforts. In 2002, the Food and Nutrition Service awarded $5 million in grants to community-based organizations in 15 States to investigate how to increase participation among people eligible for food stamp benefits. The evaluation of these grants describes the features and outcomes of these 18 projects.
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.
This report is the latest in a series presenting estimates of the percentage of eligible persons, by state, who participate in the Food Stamp Program. The participation rate – a ratio of the number of participants to the number of people eligible for benefits – is an important measure of program performance.
To increase its understanding of the reasons for nonparticipation, the Food and Nutrition Service(FNS) of the U.S. Department of Agriculture (USDA) contracted with Mathematica Policy Research, Inc. (MPR) to conduct a study of nonparticipation by low-income working and elderly households, entitled Reaching the Working Poor and Poor Elderly. This report summarizes what was learned and offers recommendations for how a national survey of the reasons for nonparticipation in the FSP should be designed and fielded.
The Food Stamp Program helps needy families purchase food so that they can maintain a nutritious diet. Families are eligible for the program if their financial resources fall below certain income and asset thresholds. However, not all eligible families participate in the program. Some choose not to, while others do not know they are eligible. The participation rate—the ratio of the number of participants to the number of eligibles—reveals the degree to which eligible families participate.
Interest, research, and expenditures on dietary supplements are growing very fast. Americans spent $8.2 billion in 1995 for vitamins, minerals, herbs and botanicals, and sports nutrition products. About half of all Americans reported at least some use of vitamins and minerals in response to recent surveys. The general goal of the study is to examine existing data that bear on a diverse set of pertinent issues.
In the past, the Food and Nutrition Service (FNS) has relied on a series of large surveys to gather and compare information on food expenditures and food consumption among participants and non-participants to better understand the impacts of the Food Stamp Program (FSP) on the diet and nutritional status of program participants. Studies based on survey data, however, have a number of drawbacks, including the time and expense of collecting the survey data, sampling error, response bias, errors in respondent recall, and misinformation about what may have been purchased or consumed.