IDEAS home Printed from https://ideas.repec.org/p/ags/uerstb/342466.html
   My bibliography  Save this paper

Utilizing the USDA’s National Household Food Acquisition and Purchase Survey to Calculate a Household-Level Food Environment Measure

Author

Listed:
  • Ver Ploeg, Michele
  • Scharadin, Benjamin
  • Miller, Lauren
  • Gonzalez, Jeffrey
  • Odom, Rodney

Abstract

Utilizing the National Household Food Acquisition and Purchase Survey (FoodAPS) in conjunction with Circana’s OmniMarket Core Outlets and USDA’s Purchase to Plate Suite (PP-Suite), the authors calculated a household-level Food Retail Environment Healthfulness Quality (FREHQ) measure. The measure approximates a household’s exposure to a healthy food retail space, weighting each store within a 20-mile radius of a household by its distance from the household. This process is used to calculate the FREHQ measure for FoodAPS respondents. The FREHQ measure allows for greater household heterogeneity and more nuanced analyses of the influence of the food retail environment on household food spending, food security, and other diet-related health conditions. This FREHQ can be used in conjunction with the rich granularity provided by the 2012–13 FoodAPS data but is also intended to be calculated with updated data and used in conjunction with future FoodAPS data.

Suggested Citation

  • Ver Ploeg, Michele & Scharadin, Benjamin & Miller, Lauren & Gonzalez, Jeffrey & Odom, Rodney, 2024. "Utilizing the USDA’s National Household Food Acquisition and Purchase Survey to Calculate a Household-Level Food Environment Measure," Technical Bulletins 342466, United States Department of Agriculture, Economic Research Service.
    • Handle: RePEc:ags:uerstb:342466
    DOI: 10.22004/ag.econ.342466
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/342466/files/tb-1964.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.342466?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Peter M. Feather, 2003. "Valuing Food Store Access: Policy Implications for the Food Stamp Program," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 162-172.
    2. Christensen, Garret & Bronchetti, Erin Todd, 2020. "Local food prices and the purchasing power of SNAP benefits," Food Policy, Elsevier, vol. 95(C).
    3. Kuhn, Michael A., 2018. "Who feels the calorie crunch and when? The impact of school meals on cyclical food insecurity," Journal of Public Economics, Elsevier, vol. 166(C), pages 27-38.
    4. Travis A. Smith & Joshua P. Berning & Xiaosi Yang & Gregory Colson & Jeffrey H. Dorfman, 2016. "The Effects of Benefit Timing and Income Fungibility on Food Purchasing Decisions among Supplemental Nutrition Assistance Program Households," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(2), pages 564-580.
    5. Volpe, Richard & Okrent, Abigail, 2012. "Assessing the Healthfulness of Consumers' Grocery Purchases," Economic Information Bulletin 262129, United States Department of Agriculture, Economic Research Service.
    6. David L. Huff, 1966. "A Programmed Solution for Approximating an Optimum Retail Location," Land Economics, University of Wisconsin Press, vol. 42(3), pages 293-303.
    7. Carlson, Andrea & Kuczynski, Kevin & Pannucci, TusaRebecca & Koegel, Kristin & Page, Elina T. & Tornow, Carina E. & Palmer Zimmerman, Thea, 2020. "Estimating Prices for Foods in the National Health and Nutrition Examination Survey: The Purchase to Plate Price Tool," Agricultural Economic Reports 305692, United States Department of Agriculture, Economic Research Service.
    8. Clay, Marie & Ver Ploeg, Michele & Coleman-Jensen, Alisha & Elitzak, Howard & Gregory, Christian & Levin, David & Newman, Constance & Rabbitt, Mathew, 2016. "Comparing National Household Food Acquisition and Purchase Survey (FoodAPS) Data With Other National Food Surveys’ Data," Economic Information Bulletin 242451, United States Department of Agriculture, Economic Research Service.
    9. Rebecca Taylor & Sofia B. Villas-Boas, 2016. "Food Store Choices of Poor Households: A Discrete Choice Analysis of the National Household Food Acquisition and Purchase Survey (FoodAPS)," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(2), pages 513-532.
    10. Hunt Allcott & Rebecca Diamond & Jean-Pierre Dubé & Jessie Handbury & Ilya Rahkovsky & Molly Schnell, 2019. "Food Deserts and the Causes of Nutritional Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(4), pages 1793-1844.
    11. Diansheng Dong & Yuqing Zheng & Hayden Stewart, 2020. "The effects of food sales taxes on household food spending: An application of a censored cluster model," Agricultural Economics, International Association of Agricultural Economists, vol. 51(5), pages 669-684, September.
    12. Kristen Cooksey-Stowers & Marlene B. Schwartz & Kelly D. Brownell, 2017. "Food Swamps Predict Obesity Rates Better Than Food Deserts in the United States," IJERPH, MDPI, vol. 14(11), pages 1-20, November.
    13. Davis, B. & Carpenter, C., 2009. "Proximity of fast-food restaurants to schools and adolescent obesity," American Journal of Public Health, American Public Health Association, vol. 99(3), pages 505-510.
    14. Benjamin Scharadin & Edward C. Jaenicke, 2020. "Time spent on childcare and the household Healthy Eating Index," Review of Economics of the Household, Springer, vol. 18(2), pages 357-386, June.
    15. Botkins, Elizabeth R. & Roe, Brian E., 2018. "Understanding participation in farm to school programs: Results integrating school and supply-side factors," Food Policy, Elsevier, vol. 74(C), pages 126-137.
    16. Benjamin Scharadin & Michele Ver Ploeg & Chris Dicken, 2022. "Geographic Boundary Definitions and the Robustness of Common Food Retail Environment Measures," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 112(5), pages 1403-1423, June.
    17. Ware, Brandon O. & Amin, Modhurima Dey & Jessup, Eric L. & McCluskey, Jill J., 2021. "Neighborhood racial composition, income, and distance to grocery retailers in Seattle," Agricultural and Resource Economics Review, Cambridge University Press, vol. 50(3), pages 512-532, December.
    18. Amy Hillier & Tony E. Smith & Eliza D. Whiteman & Benjamin W. Chrisinger, 2017. "Discrete Choice Model of Food Store Trips Using National Household Food Acquisition and Purchase Survey (FoodAPS)," IJERPH, MDPI, vol. 14(10), pages 1-11, September.
    19. Mei-Po Kwan, 2018. "The Limits of the Neighborhood Effect: Contextual Uncertainties in Geographic, Environmental Health, and Social Science Research," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 108(6), pages 1482-1490, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Elina T Page & Elizabeth Larimore & John A Kirlin & Mark Denbaly, 2019. "The National Household Food Acquisition and Purchase Survey: Innovations and Research Insights," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(2), pages 215-234, June.
    2. Pourya Valizadeh & Travis A. Smith & Michele Ver Ploeg, 2021. "Do SNAP Households Pay Different Prices throughout the Benefit Month?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(3), pages 1051-1075, September.
    3. Katherine Harris‐Lagoudakis & Hannah Wich, 2024. "Purchases over the SNAP benefit cycle: Evidence from supermarket panel data," Economic Inquiry, Western Economic Association International, vol. 62(4), pages 1426-1448, October.
    4. Justine Hastings & Ryan Kessler & Jesse M. Shapiro, 2021. "The Effect of SNAP on the Composition of Purchased Foods: Evidence and Implications," American Economic Journal: Economic Policy, American Economic Association, vol. 13(3), pages 277-315, August.
    5. Dahan, Momi & Sayag, Doron, 2024. "Scarcity and consumption priorities," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 108(C).
    6. Tiehen, Laura & Newman, Constance & Kirlin, John A., 2017. "The Food-Spending Patterns of Households Participating in the Supplemental Nutrition Assistance Program: Findings From USDA's FoodAPS," Economic Information Bulletin 262461, United States Department of Agriculture, Economic Research Service.
    7. Jue Wang & Mei-Po Kwan, 2018. "An Analytical Framework for Integrating the Spatiotemporal Dynamics of Environmental Context and Individual Mobility in Exposure Assessment: A Study on the Relationship between Food Environment Exposu," IJERPH, MDPI, vol. 15(9), pages 1-24, September.
    8. Ismail, Mehreen & Wilde, Parke E. & Ver Ploeg, Michele L., 2018. "Household Structure and SNAP's Effect on Food Spending," 2018 Annual Meeting, August 5-7, Washington, D.C. 273902, Agricultural and Applied Economics Association.
    9. Han, Jeehee & Schwartz, Amy Ellen & Elbel, Brian, 2020. "Does proximity to fast food cause childhood obesity? Evidence from public housing," Regional Science and Urban Economics, Elsevier, vol. 84(C).
    10. Mohamed Shabani Kariburyo & Lauri Andress & Alan Collins & Paul Kinder, 2020. "Place Effects and Chronic Disease Rates in a Rural State: Evidence from a Triangulation of Methods," IJERPH, MDPI, vol. 17(18), pages 1-19, September.
    11. Schanzenbach, Diane Whitmore, 2023. "Understanding SNAP: An overview of recent research," Food Policy, Elsevier, vol. 114(C).
    12. Benjamin Scharadin & Edward C. Jaenicke, 2020. "Time spent on childcare and the household Healthy Eating Index," Review of Economics of the Household, Springer, vol. 18(2), pages 357-386, June.
    13. Rahkovsky, Ilya & Jo, Young & Carlson, Andrea, 2018. "Consumers Balance Time and Money in Purchasing Convenience Foods," Economic Research Report 276227, United States Department of Agriculture, Economic Research Service.
    14. Christoph Ratay & Fabian Barthel & Alwine Mohnen, 2024. "Geographic network effects in a circular economy: A field data analysis of reusable packaging services," Journal of Industrial Ecology, Yale University, vol. 28(3), pages 482-495, June.
    15. Amin, Modhurima Dey & Badruddoza, Syed & McCluskey, Jill J., 2021. "Predicting access to healthful food retailers with machine learning," Food Policy, Elsevier, vol. 99(C).
    16. Anne T. Byrne & David R. Just, 2023. "What is free food worth? A nonmarket valuation approach to estimating the welfare effects of food pantry services," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1063-1087, August.
    17. Fan, Linlin, 2017. "The Consumer Welfare Impact of Expanding Access to Fruits and Vegetables in Food Deserts," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259164, Agricultural and Applied Economics Association.
    18. Benjamin Scharadin & Yang Yu & Edward C. Jaenicke, 2021. "Household time activities, food waste, and diet quality: the impact of non-marginal changes due to COVID-19," Review of Economics of the Household, Springer, vol. 19(2), pages 399-428, June.
    19. Zhen, Chen & Chen, Yu & Lin, Biing-Hwan & Karns, Shawn & Mancino, Lisa & Ver Ploeg, Michele, 2021. "Do Obese and Nonobese Consumers Respond Differently to Price Changes? Implications of Preference Heterogeneity for Using Food Taxes and Subsidies to Reduce Obesity," MPRA Paper 112697, University Library of Munich, Germany.
    20. Shi, Ruoding & You, Wen & Ji, Xinde & Ahn, Jae-Wan, 2020. "How Much Are We Valuing Healthy Food Environment: Evidence from Housing Markets," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304190, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    Food Consumption/Nutrition/Food Safety; Food Security and Poverty; Research Methods/ Statistical Methods;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:uerstb:342466. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/ersgvus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.