Research Projects and Publications
ERS and external researchers are actively involved in rigorous research using FoodAPS data to examine food demand relationships that previously could not be investigated in detail because the requisite data did not exist. A list of published research and work in progress follows:
- Published research
- Work in progress
A report by Dawn Marie Clay, Michele Ver Ploeg, Alisha Coleman-Jensen, Howard Elitzak, Christian Gregory, David Levin, Constance Newman, and Matthew P. Rabbitt, ERS. Data from USDA's National Household Food Acquisition and Purchase Survey (FoodAPS), the first nationally representative household survey to collect data on foods purchased or acquired during a survey week, are compared with data from other national-level, food-related surveys (July 2016).Where Households Get Food in a Typical Week: Findings from USDA’s FoodAPS
A report by Jessica E. Todd and Benjamin Scharadin, ERS. Understanding where U.S. households acquire food, what they acquire, and what they pay is essential to identifying which food and nutrition policies might improve diet quality. This report uses USDA’s National Household Food Acquisition and Purchase Survey (FoodAPS) to study where households acquired food during a 7-day period in 2012 (July 2016).WIC Household Food Purchases Using WIC Benefits or Paying Out of Pocket: A Case Study of Cold Cereal Purchases
A report by Diansheng Dong, Hayden Stewart, Elizabeth Frazão, Andrea Carlson, and Jeffrey Hyman, ERS. WIC households incur no cost for WIC-approved foods, and economic theory suggests that they may be less sensitive to prices when using WIC benefits than when paying out of pocket. ERS examines this assumption in a case study of WIC households' choices in purchasing cold cereals (May 2016).Where Do Americans Usually Shop for Food and How Do They Travel To Get There? Initial Findings from the National Household Food Acquisition and Purchase Survey
A report by Michele Ver Ploeg, Lisa Mancino, Jessica E. Todd, Dawn Marie Clay, and Benjamin Scharadin, ERS. This report compares food shopping patterns of (1) Supplemental Nutrition Assistance Program (SNAP) households to nonparticipant households, (2) participants in the Special Supplemental Nutrition Assistance Program for Women Infants and Children (WIC) to nonparticipants, and (3) food-insecure to food-secure households. On March 31, 2015, ERS hosted a webinar: First Findings from USDA's FoodAPS that provided an overview of FoodAPS and this report.
Published reports and articles based on FoodAPS data are also searchable in the ERS Food and Nutrition Assistance Research Reports Database.
"Discrete Choice Model of Food Store Trips Using National Household Food Acquisition and Purchase Survey (FoodAPS)"—by Amy Hillier, Tony E. Smith, Eliza D. Whiteman, and Benjamin W. Chrisinger, International Journal of Environmental Research and Public Health, 14: 1133. This article analyzed data from the National Household Food Acquisition and Purchase Survey (FoodAPS), using a conditional logit model to determine where participants shop for food at home and how individual and household characteristics of food shoppers interact with store characteristics and distance from home in determining store choice. Overall, participants were more likely to choose larger stores, conventional supermarkets rather than super-centers and other types of stores, and stores closer to home. Interaction effects show that participants receiving Supplemental Nutrition Assistance Program (SNAP) were even more likely to choose larger stores. This study demonstrates the value of explicitly spatial discrete choice models and provides evidence of national trends consistent with previous smaller, local studies (September 2017).
"The Association Between Consumer Competency and Supplemental Nutrition Assistance Program Participation on Food Insecurity"—by Yunhee Chang, Jinhee Kim, and Swarn Chatterjee, Journal of Nutrition Education and Behavior, 2017, 49(8): 657-666. This article examines whether Supplemental Nutrition Assistance Program (SNAP) participants exhibited lower food insecurity when they also demonstrated desirable behaviors in the areas of financial management, nutrition literacy, and conscientious food shopping. Using data from FoodAPS, this study examined whether consumer competency is a factor that affects food insecurity. Consumer competency-related factors such as financial management ability, not defaulting on bill payments within the previous 6 months, and using the nutrition panel frequently when shopping were found to be negatively associated with food insecurity and very low food security after controlling for a number of other demographic, socioeconomic, and behavioral characteristics (September 2017).
"Grocery Purchase Quality Index-2016 Scores Are Moderately Correlated with Healthy Eating Index-2010 Scores in the Food Acquisition and Purchase Survey, 2012–13"—by Philip James Brewster, Patricia M. Guenther, Carrie M. Durward, and John F Hurdle, The FASEB Journal, 2017, 31(1). This study evaluates the Grocery Purchase Quality Index-2016 (GPQI-2016), a new tool developed at the University of Utah for assessing household grocery food purchase quality. The GPQI-2016 is based on the expenditure shares for the 29 food categories found in the USDA Food Plans. The authors mapped the food group classifications in the FoodAPS database to the 29 food categories used in USDA's Food Plan market baskets to estimate expenditure shares. The Healthy Eating Index-2010 (HEI-2010) was used as the reference standard; the 8-digit USDA food codes, provided in the FoodAPS database, were used to calculate the HEI-2010. Overall, the association of the GPQI-2016 and the HEI-2010 was moderate, and it varied by component. The process used to map the FoodAPS data to the USDA Food Plan categories could be refined by mapping at the food item level rather than at the food group level and may result in higher correlations in future versions of the GPQI (April 2017).
"Nonresponse and Underreporting Errors Increase over the Data Collection Week Based on Paradata from the National Household Food Acquisition and Purchase Survey"—by Mengyao Hu, Garrett W. Gremel, John A. Kirlin, and Brady T. West, The Journal of Nutrition, 2017, 147(5): 964-975. This article looks at the errors associated with food acquisition diary surveys which are important for studying food expenditures, factors affecting food acquisition decisions, and relationships between these decisions and selected measures of health. Because these errors can bias survey estimates and research findings, the authors use paradata to assess survey errors in FoodAPS. To evaluate the patterns of nonresponse over the diary period, the authors fit a multinomial logistic regression model to data from this 1-week diary survey. They also assessed factors influencing respondents’ probability of reporting food acquisition events during the diary process and studied factors influencing respondents’ perceived ease of participation in the survey. As the diary period progressed, nonresponse increased, especially for those starting the survey on Friday (where the odds of a refusal increased by 12 percent with each fielding day). Nonresponse and underreporting of food acquisition events tended to increase in FoodAPS as data collection proceeded. This analysis of paradata available in the FoodAPS revealed these errors and suggests methodological improvements for future food acquisition surveys (March 2017).
"Rethinking Household Demand for Food Diversity"—by Andrea M. Leschewski, Dave D. Weatherspoon, and Annemarie Kuhns, British Food Journal, 2017, 119(6): 1176-1188. The authors developed a group-based food diversity index, which represents diversity in household expenditures across food subgroups, by adapting the U.S. Healthy Food Diversity Index. Using FoodAPS data, the results show that the group and product code indices capture different forms of food diversity. Education, gender, age, household size, race, SNAP and food expenditures are found to significantly affect food diversity. However, the magnitude and direction of the effects vary between group and product code indices. Given these differences, it is essential that studies select a diversity index that corresponds to their objective. Results suggest that group-based indices are appropriate for informing food and nutrition policy, while product code-based indices are ideal for guiding food industry management’s decision making (2017).
"Moderation of the Relation of County-Level Cost of Living to Nutrition by the Supplemental Nutrition Assistance Program"—by Sanjay Basu, Christopher Wimer, and Hilary Seligman, American Journal of Public Health, 106 (11): 2064-70. This article uses the National Household Food Acquisition and Purchase Survey (2012–2013; n = 14,313, including 5,414 persons in households participating in the Supplemental Nutrition Assistance Program (SNAP)) to examine associations between county-level cost-of-living metrics and both food acquisitions and the Healthy Eating Index (HEI). The study controls for individual-, household-, and county-level covariates and accounts for unmeasured confounders influencing both area of living and food acquisition. Living in a higher-cost county—particularly one with high rents—was associated with a significantly lower volume of acquired vegetables, fruits, and whole grains; a greater volume of acquired refined grains, fats and oils, and added sugars; and an 11 percent lower HEI score. Participation in SNAP was associated with nutritional improvements among persons living in higher-cost counties (2016).
"Population Density, Poverty, and Food Retail Access in the United States: An Empirical Approach"—by Parke Wilde, Joseph Llobrera, and Michele Ver Ploeg, International Food and Agribusiness Management Review, 17 (Special Issue A). This article uses a random sample of census block groups to describe the adequacy of the local food retail environment in the continental United States. It builds upon simple empirical relationships between population density, poverty rates, vehicle access, and proximity to the nearest supermarket. In contrast with the conventional wisdom, the results show that high-poverty block groups had closer proximity to the nearest supermarket than other block groups did, on average: 85.6 percent of high-poverty block groups had a supermarket within 1 mile, while 76.8 percent of lower-poverty block groups had a supermarket within this distance. Population density is a strong predictor of proximity to the nearest supermarket. Block groups with very high population density generally had very close proximity to a nearest supermarket. In block groups lacking a nearby supermarket, rates of automobile access generally were quite high (more than 95 percent), although this still leaves almost 5 percent of the population in these areas lacking both an automobile and a nearby supermarket (2014).
"Food Store Choices of Poor Households: A Discrete Choice Analysis of the National Household Food Acquisition and Purchase Survey (FoodAPS)"—by Rebecca Taylor and Sofia B. Villas-Boas, American Journal of Agricultural Economics 98 (4): 513-32. This article uses FoodAPS data to estimate consumer food outlet choices as a function of outlet type and household attributes in a multinomial mixed logit model. More specifically, the authors allow for the composition of the local retail food environment to play a role in explaining household store choice decisions and food acquisition patterns. The study found that households are willing to pay more per week in distance traveled to shop at superstores, supermarkets, and fast food outlets than at farmers markets and smaller grocery stores, and that willingness to pay is heterogeneous across income group, Supplemental Nutrition Assistance Program participation, and other household and food environment characteristics (July 2016).
"The Effects of Benefit Timing and Income Fungibility on Food Purchasing Decisions among Supplemental Nutrition Assistance Program Households"—by Travis Smith, Joshua P. Berning, Xiaosi Yang, Gregory Colson, and Jeffrey H. Dorfman, American Journal of Agricultural Economics 98 (2): 564-80. This article uses FoodAPS data to examine the "SNAP benefit cycle" where SNAP participants have higher consumption shortly after receiving their benefits, followed by lower consumption toward the end of the benefit month. The authors find evidence of two behavioral responses, working in tandem to drive much of the cycle: (1) short-run impatience—a higher preference to consume today, and (2) fungibility of income—the degree of substitutability between a SNAP dollar and a cash dollar. However, the degree of short-run impatience and fungibility of income are found to differ significantly across poverty levels and use of grocery lists to plan food purchases (January 2016).
The National Bureau of Economic Research (NBER), with support from USDA's Economic Research Service and the Food and Nutrition Service (FNS), has organized a new two-year research initiative consisting of ten distinct projects that will leverage the FoodAPS data set to address issues related to food security, nutrition, and health in the United States. The first year of funding for the NBER grants is fiscal year 2016.
The Effect of SNAP and School Food Programs on Food Spending, Diet Quality, and Food Security: Sensitivity to Program and Income Reporting Error
Investigator and institution: Robert Moffitt, Krieger-Eisenhower Professor of Economics, Johns Hopkins University.
The Nature, Consequences and Geographic Variation of Misreporting of SNAP Participation
Investigators and institutions: Bruce D. Meyer, McCormick Foundation Professor at Chicago Harris School of Public Policy, University of Chicago, and Nikolas Mittag, Assistant Professor at Cerge, Charles University, Czech Republic.
Is There an Nth of the Month Effect? The Timing of SNAP Issuance, Food Expenditures, and Grocery Prices
Investigators and institutions: Jacob S. Goldin, Fellow, Stanford Law School, Tatiana Homonoff, Assistant Professor, Department of Policy Analysis and Management, Cornell University, and Katherine H. Meckel, EPIC Postdoctoral Scholar, University of Chicago and Assistant Professor of Economics, Texas A&M University.
Is SNAP Like Cash for Recipients and Stores? Evidence from FoodAPS
Investigators and institutions: Marianne Bitler, Professor of Economics, UC Davis, and Timothy Beatty, Associate Professor, Agricultural and Resource Economics, UC Davis.
USDA Food Assistance Programs (SNAP, the National School Lunch Program, and the School Breakfast Program) and Healthy Food Choices: Quasi-Experimental Evidence from Geographic Variation in Food Prices
Investigators and institutions: Erin Bronchetti, Associate Professor of Economics, Swarthmore College, Benjamin Hansen, Associate Professor of Economics, University of Oregon, and Garret Christensen, Center for Effective Global Action, UC Berkeley.
The Role of School Meal Programs in the Food Environment Experienced by Children
Investigators and institutions: David E. Frisvold, Assistant Professor, Department of Economics, Henry Tippie College of Business, University of Iowa, and Joseph Price, Associate Professor, Department of Economics, Brigham Young University.
School Lunch and Children’s Food Consumption In and Out of School
Investigator and institution: Amy Ellen Schwartz, Daniel Patrick Moynihan Professor of Public Affairs and Professor of Economics and Public Administration, Maxwell School, Syracuse University and NYU Institute for Education and Social Policy.
Investigating Causal Effects of SNAP and WIC on Food Insecurity Using FoodAPS
Investigators and institutions: Helen H. Jensen, Professor of Economics, Iowa State University, Brent Kreider, Professor of Economics, Iowa State University, and Oleksandr Zhylyevskyy, Associate Professor of Economics, Iowa State University.
The Economic Geography of WIC
Investigators and institutions: Di Fang, Assistant Professor, Department of Agricultural Economics and Agribusiness, University of Arkansas, Rodolfo Nayga, Professor and Tyson Chair in Food Policy Economics, Department of Agricultural Economics and Agribusiness, University of Arkansas, and Michael Thomsen, Professor of Agricultural Economics and Agribusiness, University of Arkansas.
The Impacts of SNAP on Food Insecurity, Obesity, and Food Purchases: Who Misreports and Does it Matter?
Investigators and institutions: Charles J. Courtemanche, Associate Professor of Economics, Andrew Young School of Policy Studies, Georgia State University, Rusty Tchernis, Associate Professor of Economics, Andrew Young School of Policy Studies, Georgia State University, and Augustine Denteh, Ph.D. Student, Department of Economics, Andrew Young School of Policy Studies, Georgia State University.
The University of Kentucky Center for Poverty Research (UKCPR), in cooperation with ERS, has competitively awarded grants to qualified individuals and institutions to provide rigorous research that utilizes FoodAPS to expand our understanding of household food behaviors and the Supplemental Nutrition Assistance Program (SNAP). Research issues of interest include: benefit adequacy, diet quality, cost of a healthy diet, food security, and the role of the local food environment and other geographic factors. In addition to the FoodAPS data, geographically-linked data on the local food environment and food prices compiled as part of the FoodAPS Geography Component (FoodAPS-GC) are available for awardees. Three grants have been awarded for 2016, and 12 grants were awarded in 2014.
Household Responses to Per-Capita Reductions to Food Stamp Benefits: School’s Out and So are School Meals
Investigators and institutions: Lorenzo Almada (PI), Columbia University, and Ian McCarthy (Consultant), Emory University.
Food acquisition and health outcomes among new SNAP recipients since the Great Recession
Investigators and institutions: Jay Bhattacharya (PI), Stanford University, and Rita Hamad (Co-PI), Stanford University.
Food Acquisitions, the Thrifty Food Plan, and Benefit Adequacy for SNAP Participants
Investigators and institutions: Wen You (PI), Virginia Tech University, and George Davis (Co-PI), Virginia Tech University.
The Relationship of Food Price Variations to Healthy Food Acquisition
Investigators and institutions: Hilary Seligman (PI), Stanford University, Sanjay Basu (Co-Investigator), Stanford University, and Christopher Wimer (Co-Investigator), Columbia University.
The Effects of Benefit Timing and Income Fungibility on Food Purchasing Decisions among SNAP Households
Investigators and institutions: Joshua Berning (PI), University of Georgia, Gregory Colson (Co-PI), University of Georgia, Jeffrey H. Dorfman (Senior Personnel), University of Georgia, and Travis A. Smith (Co-Investigator), University of Minnesota.
Variation in Food Prices and SNAP Adequacy for Purchasing the Thrifty Food Plan
Investigators and institutions: Erin Bronchetti (PI), Swarthmore College, Garret Christensen (Co-PI), Swarthmore College (Co-PI), and Benjamin Hansen (Co-PI), University of Oregon.
The Effect of Food Price on Food Insecurity and Diet Quality: Exploring Potential Moderating Roles of SNAP and Consumer Competency
Investigators and institutions: Yunhee Chang (PI), University of Mississippi, Jinhee Kim (Co-PI), University of Maryland, and Swarn Chatterjee (Co-PI), University of Georgia.
Influence of SNAP Participation and Food Environment on Nutritional Quality of Food at Home Purchases
Investigators and institutions: Amy Hillier (PI), University of Pennsylvania, Benjamin Chrisinger (Co-Investigator), University of Pennsylvania, and Tony E. Smith (Co-Investigator), University of Pennsylvania.
Do SNAP Recipients Get the Best Prices?
Investigators and institutions: Conrad Lyford (PI), Texas Tech University, Carlos Carpio (Co-PI), Texas Tech University, Tullaya Boonsaeng (Co-PI), Texas Tech University, and Janani Thapa (Co-PI), Texas Tech University.
The Spatial Context of Food Shopping: Understanding How Local Food Retailer Access and Pricing Affect Household Behavior
Investigators and institutions: Scott Allard (PI), University of Chicago, and Patricia Ruggles (Co-PI), NORC at the University of Chicago.
Contextualizing Family Food Decisions: The Role of Household Characteristics, Neighborhood Deprivation, and Local Food Environments
Investigators and institutions: Sarah Bowen (PI), North Carolina State University, Richelle Winkler (Co-PI), Michigan Technical University, J. Dara Bloom (Co-Investigator), North Carolina State University, and Lillian O’Connell (Co-Investigator), North Carolina State University.
Neighborhood Disadvantage, Food Resources in the Environment, and the Influence on Food Store Choice and Purchasing Behavior among Supplemental Nutrition Assistance Program (SNAP) Participants and SNAP Eligible Households
Investigators and institutions: Alison Gustafson (PI), University of Kentucky, James Allen (Co-Investigator), University of Kentucky, Mark Swanson (Co-Investigator), University of Kentucky, and Nancy Schoenberg (Co-Investigator), University of Kentucky.
A Spatial Interaction Model of Food Access and Its Relationship to Food Insecurity
Investigators and institutions: Barbara Laraia (PI), University of California, Berkeley, Hilary Hoynes (Co-PI), University of California, Berkeley, and Janelle Downing (Graduate Student Researcher), University of California, Berkeley.
Household Composition and the Calorie Crunch: The Importance of Non-Unitary Models of the Family for Budgeting Over Time
Investigator and institution: Michael Kuhn (PI), University of Oregon.
If You Build It Will They Come? Store Choice Determinants among SNAP and Low-Income Households
Investigators and institutions: Sofia Berto Villas-Boas (PI), University of California, Berkeley, and Rebecca Taylor (Co-Investigator), University of California, Berkeley.
Evaluation of 2012 FoodAPS
Investigators and institutions: Brady West (PI), Megyao Hu, and Wolf Gremel, University of Michigan.
Consumer Level Food Loss: An Update of Estimates for Cooking Loss and Uneaten Food at the Consumer Level
Investigators and institutions: Mary Muth (PI), Shawn Karns, Jenna Brophy, and Michaela Coglaiti, RTI.
Does the Amount of SNAP Benefits Influence Food Choices and Expenditures?
Investigators and institutions: Becca Jablonski (PI), Rebecca Cleary, and Alessandro Bonanno, Colorado State.
FoodAPS-2 Geography Study
Investigators and institutions: Parke Wilde (PI) and Mehreen Ismail, Tufts University.
Examining Consumer Food Purchasing and Acquisition Behavior, Food-Related Greenhouse Gas Emissions and Nutritional Quality
Investigators and institutions: Sean B. Cash (PI) and Rebecca Nemec Boehm, Tufts University.
The Effect of SNAP on Food Purchases on the Quality and Timing of Household Food Purchases
Investigators and institutions: Timothy Beatty (PI), University of California, Davis, and Charlotte Tuttle, ERS.
Demand for Healthy Food Away from Home (FAFH) by Individuals with Low Food Access
Investigators and institutions: Dave Weatherspoon (PI) and Andrea Marie Leschewski, Michigan State University, and Timothy Park, ERS.
FoodAPS Data Quality and Usability
Investigators and institutions: Edward Jaenicke (PI) and Benjamin Scharadin, Pennsylvania State University, and Jessica Todd, ERS (completed, June 2017).
Maximizing the SNAP Benefit through Optimizing Food Acquisitions
Investigators and institutions: Mary Zaki (PI), University of Maryland, and Jessica Todd, ERS.
Heterogeneity in SNAP Benefit Redemption: Causes and Characteristics
Investigators and institutions: Travis A. Smith (PI), Jeff Dorfman, Chen Zhen, Pourya Valizadeh, Zhongyuan Liu, Ran Huo, and Wenying Li, University of Georgia.
FoodAPS Geography Study
Investigators and institutions: Parke Wilde (PI), Tufts University, and Craig Gundersen, University of Illinois, Urbana-Champaign.
The Salient Features of the Local Food Retail Environment for Low-Income Americans in FoodAPS
Investigators and institutions: Parke Wilde (PI) and Abigail Steiner, Tufts University, and Michele Ver Ploeg, ERS.
Evaluation of the Grocery Purchase Quality Index-2016 Using FoodAPS and the Healthy Eating Index-2010
Investigators and institutions: Patricia M. Guenther (PI), Philip J. Brewster, and John F. Hurdle, University of Utah, and Carrie M. Durward, Utah State University.
Restaurant Locations, Menus and Demand for Food
Investigator and institutions: Esteban Petruzzello (PI), University of Miami, and Guillermo Marshall, University of Illinois at Urbana-Champaign.
Examining Geographic, Structural, and Household Factors Associated with Food Store Shopping Behaviors
Investigator and institution: Megan Gilster (PI), Barbara Baquero, Cristian Meier, and Adriana Maldonado, University of Iowa.
The Effect of SNAP on Food Purchases and Family Nutrition
Investigator and institution: Jesse Shapiro (PI), Justine Hastings, Diego Focanti, Ryan Kessler, Diego Gentile, Yusheng Fei, and Jeffrey Nelson, Brown University.
Food Consumption Patterns and their Determinates: A Disaggregated Analysis
Investigator and institution: Madan Dey (PI) and Issac Sitienei, Texas State.
Salience, Food Security, and SNAP Participation
Investigator and institution:Travis Smith (PI), University of Georgia.
Kids' Meal Purchase
Investigator and institution: Seung Hee Lee-Kwan (PI), Centers for Disease Control and Prevention.
Foods Purchased at the Workplace
Investigator and institution: Stephen Onufrak (PI), Centers for Disease Control and Prevention.
Beverage Purchase Price
Investigator and institution: Sohyun Park (PI), Centers for Disease Control and Prevention.
The Effects of Food Stamp Benefits on Food Insecurity, Diet Quality, and Other Household Expenditures
Investigators and institutions: Ian McCarthy (PI), Emory University, and Lorenzo Almada, Columbia University.
SNAP, Obesity, and Unmeasured Confounders
Investigators and institutions: Sanjay Basu (PI) and Joseph Rigdon, Stanford University.
Food Assistance and Child Hunger
Investigators and institutions: Allison J. Tracy (PI), Alice Frye, and Amanda Richer, Wellesley Centers for Women, and Duke Storen, Share Our Strength.
The Influence of the Food Environment on Childhood Obesity
Investigators and institutions: Sara Bleich (PI), Kelly Bower, Rachel Johnson Thornton, and Julia Wolfson, Johns Hopkins University.
Examining Relationships between Measures of the Neighborhood Food Environment and Household Shopping and Purchasing Behaviors
Investigators and institutions: Timothy Barnes (PI), Simone French, and David Van Riper, University of Minnesota.
Habit Formation and the Persistent Impact of WIC
Investigators and institutions: David Frisvold (PI) and Emily Leslie, University of Iowa.
Income, Geography, and Nutrition Decisions: An Economic Model
Investigators and institutions: Hunt Allcott (PI), New York University, Rebecca Diamond, Stanford University, and Jean-Pierre Dubèe, University of Chicago.
Assessing the Impact of Food Restrictions under SNAP on Food Choice by Children and Families
Investigators and institutions: Chen Zhen (PI), University of Georgia, Shawn Karns and David Chrest, Research Triangle Institute (RTI), and Biing-Hwan Lin, ERS.
Exploring FoodAPS Data for SNAP and WIC
Investigators and institutions: Sangeetha Malaiyandi (PI), Danielle Berman, Wesley Dean, and Dennis Ranalli, Food and Nutrition Service, USDA.
Bringing the Food Environment Home: The Effect of a Systematically Measured Food Environment on Parent Choices and Childhood Obesity
Investigators and institutions: Wen You (PI), Jackie Yenerall, and Jennie Hill, Virginia Polytechnic Institute and State University, and Biing-Hwan Lin, ERS.
Food Shopping Access Barriers of Residents of Food Desserts: Are They Real and Are They Modified by Rurality, Income, and Food Assistance?
Investigators and institutions: Angela Liese (PI), Bethany Bell, and Xiaonan Ma, University of South Carolina.
Influences on Fruit and Vegetable Acquisition: An Examination of the Community Food Environment, Household Purchase Behaviors, Psychosocial Attributes, and SNAP Status
Investigators and institutions: Bethany Bell (PI), Angela Liese, and Xiaonan Ma, University of South Carolina.
Institute of Medicine (IOM) Review of Food Packages
Investigators and institutions: Helen Jensen (PI), Hocheol Jeon, Iowa State University.
Examining How Consumers Respond to Price Changes in Groceries versus Restaurants: A Natural Experiment from Food Tax Exemption
Investigators and institutions: Yuqing Zhen (PI) and Shaheer Burney, University of Kentucky, and Diansheng Dong, ERS.