The Well-Being and the Decisions of Farm Households: The Uses of Cross-Country Comparisons

Consumer/Household Economics,

Food Stamps and Food Insecurity: What Can Be Learned in the Presence of Non-Classical Measurement Error?

Policymakers have been puzzled to observe that food stamp households appear more likely to be food insecure than observationally similar eligible nonparticipating households. We reexamine this issue allowing for nonclassical reporting errors in food stamp participation and food insecurity. Extending the literature on partially identified parameters, we introduce a nonparametric framework that makes transparent what can be known about conditional probabilities when a binary outcome and conditioning variable are both subject to nonclassical measurement error. We find that the food insecurity paradox hinges on strong assumptions about the reliability of the data that are not supported by the previous food stamp participation literature.

THE FOOD STAMP PROGRAM, AND FOOD INSUFFICIENCY

The ability of food stamps to ameliorate food insufficiency in the U.S. is estimated with self-selection models which incorporate the systematic differences between eligible food stamp participants and non-participants. The analysis is performed with a sample of eligible households from the 1992 Survey of Income and Program Participation (SIPP).Food Security and Poverty,

Up to 47 million Americans face more food insecurity because of proposed restrictions on SNAP food assistance program

Last November the increase in benefits to the SNAP program of food assistance, put in place in 2009 as part of the American Recovery Act, expired. Craig Gundersen gives an overview of SNAP, writing that in 2012 it provided benefits to more than 47 million people. He argues that recent proposals that would fundamentally change and reduce SNAP assistance will reduce food security and well-being by increasing the program’s stigma and transaction costs, meaning that fewer households will enter the program. This is in contrast to recent reductions in SNAP benefits which will have more limited impacts

SNAP and Obesity

No abstract

Food insecurity and childhood obesity: beyond categorical and linear representations

Previous work on the relationship between food insecurity and childhood overweight has lead to a wide array of answers – some have found a positive relationship, others no relationship, and still others a negative relationship. This previous work has shared one thing in common – all have used parametric models. In this paper we move beyond parametric models by using non-parametric models. With data from the 1999-2002 National Health and Nutrition Examination Survey (NHANES) and a wide array parametric methods, we find evidence across different samples of a positive relationship, no relationship, and a negative relationship between childhood overweight and food insecurity. When we turn to non-parametric methods, however, this ambiguity across samples is not as prevalent. Instead, across different samples, we find (a) increases in the probability of food insecurity in the middle of the BMI distribution, (b) increases in the probability at the very high end of the BMI, and (c) no relationship across the entire distribution. We present some parametric models that roughly mimic these relationships. Our results indicate that efforts to reduce food insecurity will either have no impact on childhood overweight or would lead to reductions in childhood overweight.Food Consumption/Nutrition/Food Safety, Food Security and Poverty,

The Changing Food Assistance Landscape: The Food Stamp Program in a Post-Welfare Reform Environment

The Personal Responsibility and Work Opportunity Reconciliation Act of 1996 (PRWORA) dramatically transformed and continues to transform the food assistance landscape in the United States. The Act cut more funds from the Food Stamp Program than it did from any other program, through reductions in benefits per person and restrictions in eligibility. Despite these cuts, food stamps now have a more prominent role in the post-welfare reform social safety net because the largest cash-assistance entitlement program, Aid to Families with Dependent Children (AFDC), was replaced with the Temporary Assistance to Needy Families (TANF) program, a nonentitlement program. This leaves the Food Stamp Program as one of the only remaining entitlement programs available to almost all low-income households.food stamps, transfer payments, food consumption, nutrition, Food Consumption/Nutrition/Food Safety, Food Security and Poverty,

EXPLAINING THE FOOD STAMP CASH-OUT PUZZLE

Empirical studies have shown that food stamp participants spend a higher proportion of their benefit on food than they would with an equivalent amount of cash. Our study demonstrates that this result can be explained by the decision-making behavior of multi-adult households. Multi-adult households spend a higher proportion of their food stamp benefit than they would with an equivalent amount of cash. In contrast, single-adult households show little difference in food spending between food stamps and an equivalent amount of cash. Because over 30 percent of food stamp participants are in multi-adult households, switching from food stamps to cash may reduce food purchases of these needy households. If that is indeed the case, the use of food stamps and other in-kind benefits may be more desirable than other forms of assistance.Food Stamp Program, cash transfers, cash-out puzzle, welfare stigma, Cournot model, intra-household distribution, Engel curves, Food Consumption/Nutrition/Food Safety, Food Security and Poverty,

Food Stamps and Food Insecurity What Can Be Learned in the Presence of Nonclassical Measurement Error?

Policymakers have been puzzled to observe that food stamp households appear more likely to be food insecure than observationally similar eligible nonparticipating households. We reexamine this issue allowing for nonclassical reporting errors in food stamp participation and food insecurity. Extending the literature on partially identified parameters, we introduce a nonparametric framework that makes transparent what can be known about conditional probabilities when a binary outcome and conditioning variable are both subject to nonclassical measurement error. We find that the food insecurity paradox hinges on assumptions about the data that are not supported by the previous food stamp participation literature