Research

Peer-Reviewed Publications

Coleman-Jensen, Alisha, Matthew P. Rabbitt, Christian A. Gregory, and Anita Singh. 2022. “Household Food Security in the United States in 2021,” Economic Research Service, U.S. Department of Agriculture.

Coleman-Jensen, Alisha, Matthew P. Rabbitt, Christian A. Gregory, and Anita Singh. 2022. “Statistical Supplement to Household Food Security in the United States in 2021,” Economic Research Service, U.S. Department of Agriculture.

Rabbitt, Matthew P., Matthew R. Beymer, and Joanna J. Reagan. 2022. “Changes in Food Insecurity and Food Access Among Active-Duty Soldiers During the Coronavirus Pandemic,” Public Health Nutrition.

Coleman-Jensen, Alisha, Matthew P. Rabbitt, Christian A. Gregory, and Anita Singh. 2021. “Household Food Security in the United States in 2020,” Economic Research Service, U.S. Department of Agriculture.

Coleman-Jensen, Alisha, Matthew P. Rabbitt, Christian A. Gregory, and Anita Singh. 2021. “Statistical Supplement to Household Food Security in the United States in 2020,” Economic Research Service, U.S. Department of Agriculture.

Coleman-Jensen, Alisha, and Matthew P. Rabbitt. 2021. “Food Pantry Use Increased in 2020 for Most Types of U.S. Households,” Amber Waves, Economic Research Service, U.S. Department of Agriculture.

Rabbitt, Matthew P., George Engelhard, Jr., and J. Kyle Jennings. 2021. “Assessing the Dimensionality of Food-Security Measures,” Journal of Economic and Social Measurement.

Beymer, Matthew R., Joanna J. Reagan, Matthew P. Rabbitt, Abby E. Webster, and Eren Y. Watkins. “Association Between Marginal Food Insecurity and Intentions to Remain in the U.S. Army in a Cross-Sectional Sample of U.S. Soldiers,” Journal of Nutrition.

Rabbitt, Matthew P., and Michael D. Smith. “Food Insecurity Among Working Age Veterans.” 2021. Economic Research Service, U.S. Department of Agriculture.

Ellison, Brenna, Meg Bruening, Daniel J. Hruschka, Cassandra J. Nikolaus, Matthew P. Rabbitt, and Irene van Woerden. 2021. “Viewpoint: Food Insecurity Among College Students: A Case for Consistent and Comparable Measurement,” Food Policy.

Restrepo, Brandon J., Matthew P. Rabbitt, and Christian A. Gregory. 2021. “The Effect of Unemployment on Food Spending and Adequacy: Evidence from Coronavirus-Induced Firm Closures,” Applied Economic Perspectives and Policy.

Wang, Jue, George Engelhard, Jr. Victoria T. Tanaka, and Matthew P. Rabbitt. 2020. “An Examination of Measurement Invariance Using a Multilevel Explanatory Rasch Model,” Measurement: Interdisciplinary Research and Perspectives.

Coleman-Jensen, Alisha, Matthew P. Rabbitt, Christian A. Gregory, and Anita Singh. 2020. “Household Food Security in the United States in 2019,” Economic Research Service, U.S. Department of Agriculture.

Coleman-Jensen, Alisha, Matthew P. Rabbitt, Christian A. Gregory, and Anita Singh. 2020. “Statistical Supplement to Household Food Security in the United States in 2019,” Economic Research Service, U.S. Department of Agriculture.

Wang, Jue, George Engelhard Jr., Victoria T. Tanaka, and Matthew P. Rabbitt. In Press. “An Examination of Measurement Invariance Using a Multilevel Explanatory Rasch Model,” Measurement: Interdisciplinary Research and Perspectives.

Heflin, Colleen, Irma Arteaga, Jean F. Ndashimye, and Matthew P. Rabbitt. 2020. “Childhood Injuries and Food Stamp Benefits: An Examination of Administrative Data in One US State,” BMC Pediatrics, 20(1), 1-8.

Tanaka, Victoria T., George Engelhard Jr., and Matthew P. Rabbitt. 2020. “Using a Bifactor Model to Measure Food Insecurity in Households with Children,” Journal of Family and Economic Issues.

Coleman-Jensen, Alisha, Matthew P. Rabbitt, Christian A. Gregory, and Anita Singh. 2019. “Household Food Security in the United States in 2018,” Economic Research Service, U.S. Department of Agriculture.

Coleman-Jensen, Alisha, Matthew P. Rabbitt, Christian A. Gregory, and Anita Singh. 2019. “Statistical Supplement to Household Food Security in the United States in 2018,” Economic Research Service, U.S. Department of Agriculture.

Rabbitt, Matthew P., and Jiyoon Kim. 2019. “SNAP Households Adjust Their Expenditures and How They Spend Their Time in Response to Changes in Program Benefits,” Amber Waves, Economic Research Service, U.S. Department of Agriculture.

Kim, Jiyoon, Matthew P. Rabbitt, and Charlotte Tuttle. 2019. “Changes in Low-Income Households’ Spending Patterns in Response to the 2013 SNAP
Benefit Cut
,” Applied Economic Perspectives and Policy, , ppz007.

Tanaka, Victoria T., George Engelhard, Jr., and Matthew P. Rabbitt. Forthcoming. “Examining Differential Item Functioning in the Household Food Insecurity Scale: Does Participation in SNAP Affect Measurement Invariance?,” Journal of Applied Measurement, 20(1), 100-111.

Heflin, Colleen, Irma Arteaga, Leslie Hodges, Jean F. Ndashiyme , and Matthew P. Rabbitt. 2019. “SNAP Benefits and Childhood Asthma,” Social Science & Medicine, 220, 203-211.

Rabbitt, Matthew P. 2018. “Causal Inference with Latent Variables from the Rasch Model as Outcomes,” Measurement, 120, 193-205.

Coleman-Jensen, Alisha, Matthew P. Rabbitt, and Christian A. Gregory. 2017. “Examining an “Experimental Food Security Status Classification Method for Households with Children,”Economic Research Service, U.S. Department of Agriculture.

Coleman-Jensen, Alisha, Matthew P. Rabbitt, Christian A. Gregory, and Anita Singh. 2018. “Household Food Security in the United States in 2017,” Economic Research Service, U.S. Department of Agriculture.

Coleman-Jensen, Alisha, Matthew P. Rabbitt, Christian A. Gregory, and Anita Singh. 2018. “Statistical Supplement to Household Food Security in the United States in 2017,” Economic Research Service, U.S. Department of Agriculture.

Rabbitt, Matthew P., and Alisha Coleman-Jensen. 2017. “Rasch Analyses of the Standardized Spanish Translation of the US Household Food Security Survey Module,” Journal of Economic and Social Measurement, 42, 171-187.

Engelhard Jr., George, Matthew P. Rabbitt, and Emily M. Engelhard. 2017. “Using Household Fit Indices to Examine the Psychometric Quality of Food Insecurity Measures,” Educational and Psychological Measurement, 78(1), 1089-1107.

Rabbitt, Matthew P., Alisha Coleman-Jensen, and Christian A. Gregory. 2017. “Understanding the Prevalence, Severity, and Depth of Food Insecurity in the United States,” Amber Waves, Economic Research Service, U.S. Department of Agriculture.

Coleman-Jensen, Alisha, Matthew P. Rabbitt, Christian A. Gregory, and Anita Singh. 2017. “Household Food Security in the United States in 2016,” Economic Research Service, U.S. Department of Agriculture.

Coleman-Jensen, Alisha, Matthew P. Rabbitt, Christian A. Gregory, and Anita Singh. 2017. “Statistical Supplement to Household Food Security in the United States in 2016,” Economic Research Service, U.S. Department of Agriculture.

Smith, Michael D., Matthew P. Rabbitt, and Alisha Coleman-Jensen. 2017. “Who are the World’s Food Insecure? New Evidence from the Food and Agriculture Organization’s Food Insecurity Experience Scale,” World Development, 93, 402-412.

Rabbitt, Matthew P. 2016. “A Note on the Usefulness of the Behavioural Rasch Selection Model for Causal Inference in the Social Sciences,” Journal of Physics: Conference Series, 772(1).

Coleman-Jensen, Alisha, Matthew P. Rabbitt, Christian A. Gregory, and Anita Singh. 2016. “Household Food Security in the United States in 2015,” Economic Research Service, U.S. Department of Agriculture.

Coleman-Jensen, Alisha, Matthew P. Rabbitt, Christian A. Gregory, and Anita Singh. 2016. “Statistical Supplement to Household Food Security in the United States in 2015,” Economic Research Service, U.S. Department of Agriculture.

Clay, Dawn M., Michele Ver Ploeg, Alisha Coleman-Jensen, Howard Elitzak, Christian A. Gregory, David Levin, Constance Newman, and Matthew P. Rabbitt. 2016. “Comparing National Food Acquisition and Purchase Survey (FoodAPS) Data with Other National Food Surveys’ Data,” Economic Research Service, U.S. Department of Agriculture.

Rabbitt, Matthew P., Michael D. Smith, and Alisha Coleman-Jensen. 2016. “Food Insecurity and Hispanic Diversity,” Amber Waves. Economic Research Service, U.S. Department of Agriculture.

Rabbitt, Matthew P., Michael D. Smith, and Alisha Coleman-Jensen. 2016. “Food Security Among Hispanic Adults in the United States, 2011-2014,” Economic Research Service, U.S. Department of Agriculture.

Coleman-Jensen, Alisha, Matthew P. Rabbitt, Christian A. Gregory, and Anita Singh. 2015. “Household Food Security in the United States in 2014,” Economic Research Service, U.S. Department of Agriculture.

Coleman-Jensen, Alisha, Matthew P. Rabbitt, Christian A. Gregory, and Anita Singh. 2015. “Statistical Supplement to Household Food Security in the United States in 2014,” Economic Research Service, U.S. Department of Agriculture.

Book Chapters

Tanaka, Victoria T, George Engelhard Jr., and Matthew P. Rabbitt. In Press. “Modeling Household Food Insecurity with a Polytomous Rasch Model,” Quantitative Psychology, New York, Springer. In press, pp. 1-12.

Gregory, Christian A., Matthew P. Rabbitt, and David C. Ribar. 2016. “The Supplemental Nutrition Assistance Program and Food Insecurity,” SNAP Matters: How Food Stamps Affect Health and Well-Being, J. Zilliak, J. Bartfield, T. Smeeding, and C. Gundersen, eds. Stanford, CA: Stanford University Press.

Manuscripts Under Review

Rabbitt, Matthew P., and Matthew R. Beymer. “Comparing Food Insecurity Among the U.S. Military and Civilian Populations” (Under review, Economic Research Service, U.S. Department of Agriculture)

Abstract: Coming soon.

Giombi, Kristen C., Matthew P. Rabbitt, and Shawn Karns. “Barriers to SNAP Participation Among Military Families: The Case of the Basic Allowance for Housing” (Requested revisions resubmitted, Defense and Peace Economics)

Abstract: Coming soon.

Coleman-Jensen, Alisha, Christian A. Gregory, and Matthew P. Rabbitt. “The Importance of Investments in Research on Food Security Data Quality” (Submitted, Journal of the Academy of Nutrition and Dietetics)

Abstract: Coming soon.

Working Papers

Rabbitt, Matthew P., M. Taylor Rhodes, George Engelhard, Jr., and Emily M. Engelhard. “Empirical Guidance for Estimating the Causal Effects of Safety Net Programs on Food Insecurity: An Application to Children’s Food Insecurity and the Supplemental Nutrition Assistance Program.”

Abstract: Coming soon.

Rabbitt, Matthew P., and M. Taylor Rhodes. “Federal Payroll Tax Policy and Food Insecurity: Evidence from a Quasi-Natural Experiment.”

Abstract: Coming soon.

Ambrozek, Charlotte E. , Timothy K. M. Beatty, Marianne P. Bitler, Xinzhe H. Cheng, and Matthew P. Rabbitt. “Impact of eWIC on Retailer Participation and Sales.”

Abstract: Coming soon.

Jones, Jordan, Charles Courtemanche, James Marton, and Matthew P. Rabbitt. Does SNAP Affect Medicaid Expenditures?.”

Abstract: The purpose of this paper is to estimate the impacts of SNAP on various mortality rates.  We assemble annual county-level panels using data on SNAP participation from the U.S. Census Small Area Income and Poverty Estimates (SAIPE) program and data on mortality from the Centers for Disease Control and Prevention’s Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) system.  We make use of variation in SNAP eligibility and net income determination over time to construct a simulated measure of eligibility of a common sample in each state and year, representing the relative generosity of states’ SNAP programs.  We use these simulated measures as instruments to estimate the effects of SNAP participation on mortality rates for the overall population; for gender, race/ethnicity, and age-group subpopulations; and for ten internal and external causes of death.  Further, we examine how these effects vary between areas with high and low poverty rates.

Rabbitt, Matthew P., “Measuring the Effect of Supplemental Nutrition Assistance Program Participation on Food Security Using a Behavioral Rasch Selection Model.”

Abstract: I examine the causal relationship between the Supplemental Nutrition Assistance Program (SNAP) participation and food insecurity using data on low-income households from the 2001-2008 Current Population Survey Food Security Supplement (CPS-FSS). In addition, I explore heterogeneity in the causal effect of SNAP participation on food insecurity by disaggregating my sample based on differences in household’s eligibility for SNAP and other social safety net programs. I find the receipt of SNAP benefits reduces the probability of food insecurity by 33.3, 14.7, and 20.6 percent for married-parent, elderly-only, and other-adult-only households, respectively. For unmarried-parent households, SNAP benefit receipt is no longer statistically significantly associated with food insecurity after controlling for selection; however, it remains positively signed. I explore possible reasons for this finding using measures of food expenditure and self-reported food needs and find that unmarried-parent households need an additional 6.6 to 17.0 percent increase in monthly SNAP benefits to meet their food needs.

Rabbitt, Matthew P., Alisha Coleman-Jensen, and Christian A. Gregory. “Evaluating the Effect of the Sunset of the American Recovery and Reinvestment Act on Food Insecurity.”

Abstract: Coming soon.

Gregory, Christian A., and Matthew P. Rabbitt. “Using a Latent-Factor Model for Endogenous Treatment and an Ordered Outcome: The Case of SNAP and Food Insecurity.”

Abstract: Coming soon.

Rabbitt, Matthew P. “Underage Drinking and the Occupational Choices of Recent College Graduates.”

Abstract: This analysis examines the relationship between underage college drinking and the initial occupational choices of recent male college graduates using data from the National Longitudinal Survey of Youth 1997 (NLSY97). We exploit the longitudinal structure of the NLSY97 to identify the year in which young men transitioned from college to work. Focusing on recent college graduates and their initial occupational choices allows us to address important timing issues not considered by previous studies. For the multivariate analyses, we estimate multinomial logistic models of occupational choice, where the occupational choice set is specified as employed full-time in white-collar occupations, other occupations, enrolled in school, and not in school nor employed full-time. In addition, we estimate multinomial logistic selection models to control for any potential unobserved heterogeneity between drinkers and abstainers. The results suggest that underage college drinking is not associated with young men’s initial occupational choices, with the exception of the decision to be enrolled in school. Young men with any underage college days where they drank two or more drinks are 28.9 percent less likely to be enrolled in school after completing a bachelor’s degree.

Works in Progress

Rabbitt, Matthew P., and M Taylor Rhodes. “Does Contemporaneous Food Insecurity Reduce Labor Market Productivity and Can This be Mitigated by the Supplemental Nutrition Assistance Program?.”

Rabbitt, Matthew P. “Estimating Explanatory Item Response Theory Models in Stata.”

Rabbitt, Matthew P. “Estimating the Accuracy and Consistency of Classifications Based on Item Response Theory Measures.”

Rabbitt, Matthew P. “Estimating the Food Expenditure Shortfall of U.S. Households During the Coronavirus Disease (COVID-19) Pandemic.”

Rabbitt, Matthew P., Christian A. Gregory, and Alisha Coleman-Jensen. “Food Insecurity and the Coronavirus Disease (COVID-19) Pandemic: A Theoretical Approach.”

Rabbitt, Matthew P., and M. Taylor Rhodes. “Structural Foundations for Food Security: Model and Application.”

Rabbitt, Matthew P., and M. Taylor Rhodes. “Methodology for the Imputation of Income- and Consumption-Based Food Security Measures.”

Tuttle, Charlotte, and Matthew P. Rabbitt. “Exploring Differences in Daily Time Use Among Food-Secure and -Insecure Households.”

London, Andrew S., Colleen Heflin, and Matthew P. Rabbitt. “Military Service-Connected Disability and SNAP Use.”

Rabbitt, Matthew P. “Misclassification of Food Security Status: Does it Affect the Monitoring of Health and Wellbeing in the United States?”

Rabbitt, Matthew P. “IFIT and PFIT: Stata Postestimation Commands to Estimate Item- and Person-Fit Statistics for Item Response Theory Models.”