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Craig Gundersen (2021)
Viewpoint: A proposal to reconstruct the Supplemental Nutrition Assistance Program (SNAP) into a universal basic income program for foodFood Policy, 101
Gregory Chojnacki, Andrew Gothro, P. Gleason, Sarah Forrestal (2021)
A Randomized Controlled Trial Measuring Effects of Extra Supplemental Nutrition Assistance Program (SNAP) Benefits on Child Food Security in Low-Income Families in Rural Kentucky.Journal of the Academy of Nutrition and Dietetics, 121 1S
Pierre Nguimkeu, Augustine Denteh, R. Tchernis (2016)
On the Estimation of Treatment Effects with Endogenous MisreportingEconometrics: Econometric Model Construction
L. Almada, Ian McCarthy, R. Tchernis (2015)
What Can We Learn About the Effects of Food Stamps on Obesity in the Presence of Misreporting?Wiley-Blackwell: American Journal of Agricultural Economics
J. Currie (2008)
Healthy, Wealthy, and Wise: Socioeconomic Status, Poor Health in Childhood, and Human Capital DevelopmentLabor: Demographics & Economics of the Family
L. Nicholas (2010)
Can Food Stamps Help to Reduce Medicare Spending on Diabetes?Health Economics eJournal
Joel Cuffey, Timothy Beatty, Elton Mykerezi (2021)
Work Effort and Work Requirements for Food Assistance among U.S. AdultsAmerican Journal of Agricultural Economics
Meng Ding, Norbert Wilson, K. Garza, C. Zizza (2014)
Undiagnosed prediabetes among food insecure adults.American journal of health behavior, 38 2
Norbert Wilson, Bradley Rickard, Rachel Saputo, Shuay-Tsyr Ho (2015)
Food Waste: The Role of Date Labels, Package Size, and Product CategoryWaste eJournal
M. Bailey, H. Hoynes, Maya Rossin-Slater, Reed Walker (2020)
Is the Social Safety Net a Long-Term Investment? Large-Scale Evidence from the Food Stamps ProgramComparative Political Economy: Social Welfare Policy eJournal
R. Oaxaca (1973)
Male-Female Wage Differentials in Urban Labor MarketsInternational Economic Review, 14
C. Gundersen, B. Kreider, J. Pepper (2018)
Reconstructing the Supplemental Nutrition Assistance Program to More Effectively Alleviate Food Insecurity in the United StatesRSF, 4
C. Gundersen, D. Ribar (2005)
Food Insecurity and Insufficiency at Low Levels of Food ExpendituresAgricultural & Natural Resource Economics eJournal
Justine Hastings, Jesse Shapiro (2017)
How are Snap Benefits Spent? Evidence from a Retail PanelNBER Working Paper Series
Yuqing Zheng, Jianqiang Zhao, Steven Buck, S. Burney, H. Kaiser, Norbert Wilson (2021)
Putting grocery food taxes on the table: Evidence for food security policy-makersFood Policy, 101
H. Shaefer, Italo Gutierrez (2013)
The Supplemental Nutrition Assistance Program and Material Hardships among Low-Income Households with ChildrenSocial Service Review, 87
S. Kalichman, Dominica Hernandez, Chauncey Cherry, Moira Kalichman, Christopher Washington, Tamar Grebler (2014)
Food Insecurity and Other Poverty Indicators Among People Living with HIV/AIDS: Effects on Treatment and Health OutcomesJournal of Community Health, 39
R. Fairlie (2022)
The Impacts of COVID-19 on Racial Inequality in Business EarningsSSRN Electronic Journal
S. Yen (2010)
The effects of SNAP and WIC programs on nutrient intakes of childrenFood Policy, 35
M. Bitler, H. Hoynes, Elira Kuka (2016)
Child Poverty, the Great Recession, and the Social Safety Net in the United StatesERN: Other Macroeconomics: Prices
K. Alaimo, C. Olson, E. Frongillo (2001)
Food insufficiency and American school-aged children's cognitive, academic, and psychosocial development.Pediatrics, 108 1
(2007)
Institute for Research on Poverty Discussion Paper no. 1321-07 Food Stamps and Food Insecurity: What Can Be Learned in the Presence of Nonclassical Measurement Error?
C. Baum (2011)
The Effects of Food Stamps on ObesitySouthern Economic Journal, 77
David Ribar, Marilyn Edelhoch, Qiduan Liu (2012)
Watching the ClocksThe Journal of Human Resources, 43
C. Gray (2019)
Leaving benefits on the table: Evidence from SNAPJournal of Public Economics
Joshua Berning, A. Bonanno, Rebecca Cleary (2022)
Disparities in food insecurity among Black and White households: An analysis by age cohort, poverty, education, and home ownershipApplied Economic Perspectives and Policy
Alfonso Flores-Lagunes, Hugo Jales, Judith Liu, Norbert Wilson (2018)
The Differential Incidence and Severity of Food Insecurity by Racial, Ethnic, and Immigrant Groups over the Great Recession in the United States, 108
Timothy Beatty, Charlotte Tuttle (2015)
Expenditure Response to Increases in In‐Kind Transfers: Evidence from the Supplemental Nutrition Assistance ProgramWiley-Blackwell: American Journal of Agricultural Economics
C. Gundersen, B. Kreider, J. Pepper (2011)
The Economics of Food Insecurity in the United States
Caroline Ratcliffe, Signe-Mary Mckernan (2011)
How Much Does the Supplemental Nutrition Assistance Program Reduce Food Insecurity?ERN: Government Expenditures & Welfare Programs (Topic)
Gary King, Langche Zeng (2006)
The Dangers of Extreme CounterfactualsPolitical Analysis, 14
A. Blinder (1973)
Wage Discrimination: Reduced Form and Structural EstimatesJournal of Human Resources, 8
Jeehoon Han (2016)
The Impact of SNAP on Material Hardships: Evidence from Broad-Based Categorical Eligibility ExpansionsERN: Government Expenditures & Welfare Programs (Topic)
Jeehoon Han (2019)
The Impact of SNAP Work Requirements on Labor SupplyPSN: Food Assistance (Topic)
Y. Nam, Jin Huang, C. Heflin, Michael Sherraden (2015)
Racial and Ethnic Disparities in Food Insufficiency: Evidence from a Statewide Probability SampleJournal of the Society for Social Work and Research, 6
H. Hoynes, D. Schanzenbach (2007)
Consumption Responses to In-Kind Transfers: Evidence from the Introduction of the Food Stamp ProgramIO: Theory
N. Kabbani, P. Wilde (2003)
Short Recertification Periods in the U.S. Food Stamp ProgramJournal of Human Resources, 38
T. Fraker, A. Martini, J. Ohls (1995)
The Effect of Food Stamp Cashout on Food Expenditures: An Assessment of the Findings from Four DemonstrationsJournal of Human Resources, 30
(2019)
Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness, and Holes in the Safety Net
C. Gundersen (2007)
Measuring the extent, depth, and severity of food insecurity: an application to American Indians in the USAJournal of Population Economics, 21
Paul Goldsmith-Pinkham, K. Jiang, Zirui Song, Jacob Wallace (2022)
Measuring Changes in Disparity Gaps: An Application to Health Insurance
We analyze the role played by the Supplemental Nutrition Assistance Program (SNAP) in alleviating or exacerbating inequality across racial and ethnic groups in food expenditures and in the resources needed to meet basic food needs (the “food resource gap”). To do this, we propose a simple framework that decomposes differences across groups in SNAP benefit transfer levels into three components: eligibility, participation, and generosity. This decomposition is then linked to differences in food expenditures and the food resource gap. Our results reveal that among the three components, differences in eligibility contribute the most to SNAP benefits differentials for Black and Hispanic households relative to White households. Given that SNAP is often a target of policy changes, we employ the framework to provide counterfactual analyses of how selected SNAP policy changes can impact group differences in benefits and, ultimately, disparities in food expenditures and the food resource gap. The proposed framework can be applied to analyze other safety net programs.
American Journal of Agricultural Economics – Wiley
Published: Mar 1, 2024
Keywords: decomposition; inequality; race and ethnicity; supplemental nutrition assistance program
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