IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v192y2017icp112-124.html

Re-evaluating associations between the Supplemental Nutrition Assistance Program participation and body mass index in the context of unmeasured confounders

Author

Listed:
  • Rigdon, Joseph
  • Berkowitz, Seth A.
  • Seligman, Hilary K.
  • Basu, Sanjay

Abstract

To evaluate the association between participation in the Supplemental Nutrition Assistance Program (SNAP) and body mass index (BMI) in the presence of unmeasured confounding.

Suggested Citation

  • Rigdon, Joseph & Berkowitz, Seth A. & Seligman, Hilary K. & Basu, Sanjay, 2017. "Re-evaluating associations between the Supplemental Nutrition Assistance Program participation and body mass index in the context of unmeasured confounders," Social Science & Medicine, Elsevier, vol. 192(C), pages 112-124.
    • Handle: RePEc:eee:socmed:v:192:y:2017:i:c:p:112-124
    DOI: 10.1016/j.socscimed.2017.09.020
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953617305543
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.socscimed.2017.09.020?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Maximilian D. Schmeiser, 2012. "The impact of long‐term participation in the supplemental nutrition assistance program on child obesity," Health Economics, John Wiley & Sons, Ltd., vol. 21(4), pages 386-404, April.
    2. Baiocchi, Mike & Small, Dylan S. & Lorch, Scott & Rosenbaum, Paul R., 2010. "Building a Stronger Instrument in an Observational Study of Perinatal Care for Premature Infants," Journal of the American Statistical Association, American Statistical Association, vol. 105(492), pages 1285-1296.
    3. Todd, J.E. & Ploeg, M.V., 2014. "Caloric beverage intake among adult supplemental nutrition assistance program participants," American Journal of Public Health, American Public Health Association, vol. 104(9), pages 80-85.
    4. Gregory, Christian A. & Ver Ploeg, Michele & Andrews, Margaret S. & Coleman-Jensen, Alisha, 2012. "SNAP and Diet Quality: An Instrumental Variables Approach," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124757, Agricultural and Applied Economics Association.
    5. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2011. "Robust Inference With Multiway Clustering," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(2), pages 238-249, April.
    6. Austin Nichols, 2006. "Weak Instruments: An Overview and New Techniques," North American Stata Users' Group Meetings 2006 3, Stata Users Group.
    7. Leung, Cindy & Blumenthal, Susan & Hoffnagle, Elena & Jensen, Helen H. & Foerster, Susan & Nestle, Marion & Cheung, Lilian & Mozaffarian, Dariush & Willett, Walter, 2013. "Associations of Food Stamp Participation with Obesity and Dietary Quality among Low-income Children," Staff General Research Papers Archive 36017, Iowa State University, Department of Economics.
    8. Small, Dylan S & Rosenbaum, Paul R, 2008. "War and Wages," Journal of the American Statistical Association, American Statistical Association, vol. 103(483), pages 924-933.
    9. Brent Kreider & John V. Pepper & Craig Gundersen & Dean Jolliffe, 2012. "Identifying the Effects of SNAP (Food Stamps) on Child Health Outcomes When Participation Is Endogenous and Misreported," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(499), pages 958-975, September.
    10. John C. Chao & Norman R. Swanson, 2005. "Consistent Estimation with a Large Number of Weak Instruments," Econometrica, Econometric Society, vol. 73(5), pages 1673-1692, September.
    11. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
    12. Ho, Daniel & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2011. "MatchIt: Nonparametric Preprocessing for Parametric Causal Inference," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i08).
    13. Ratcliffe, Caroline & McKernan, Signe-Mary, 2010. "How Much Does Snap Reduce Food Insecurity?," Contractor and Cooperator Reports 292080, United States Department of Agriculture, Economic Research Service.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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. Leschewski, Andrea M. & Weatherspoon, Dave D., "undated". "The Supplemental Nutrition Assistance Program: Current Restricted Expenditures," 2018 Annual Meeting, August 5-7, Washington, D.C. 273846, Agricultural and Applied Economics Association.

    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. Taylor, David & Roberts, Jessica & Rose, Vanessa & Gyani, Alex & Shlonsky, Aron, 2025. "Examining the impact of an accommodation and support intervention in reducing homelessness amongst care leavers in Australia: A hybrid type-1 implementation-effectiveness study using propensity score methods," Children and Youth Services Review, Elsevier, vol. 179(C).
    2. Hamilton, Timothy L. & Wichman, Casey J., 2018. "Bicycle infrastructure and traffic congestion: Evidence from DC's Capital Bikeshare," Journal of Environmental Economics and Management, Elsevier, vol. 87(C), pages 72-93.
    3. Mansaray, Alhassan & Coleman, Simeon & Ataullah, Ali & Sirichand, Kavita, 2021. "Residual government ownership in public-private partnership projects," Journal of Government and Economics, Elsevier, vol. 4(C).
    4. Houqiang Yu & Yian Liang & Yinghua Xie, 2024. "Can peer review accolade awards motivate reviewers? A large-scale quasi-natural experiment," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    5. Credit, Kevin, 2025. "The Impact of Light Rail Construction on Regional On-Road CO2 Emissions Per Capita," OSF Preprints euyj6_v2, Center for Open Science.
    6. Stjepan Srhoj & Michael Lapinski & Janette Walde, 2019. "Size matters? Impact evaluation of business development grants on SME performance," Working Papers 2019-14, Faculty of Economics and Statistics, Universität Innsbruck.
    7. Pavithra Harsha & Shivaram Subramanian & Joline Uichanco, 2019. "Dynamic Pricing of Omnichannel Inventories," Service Science, INFORMS, vol. 21(1), pages 47-65, January.
    8. Lenis, David & Ackerman, Benjamin & Stuart, Elizabeth A., 2018. "Measuring model misspecification: Application to propensity score methods with complex survey data," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 48-57.
    9. Bronchetti, Erin T. & Christensen, Garret & Hoynes, Hilary W., 2019. "Local food prices, SNAP purchasing power, and child health," Journal of Health Economics, Elsevier, vol. 68(C).
    10. Wang, Julia Shu-Huah & Zhao, Xi & Nam, Jaehyun, 2021. "The effects of welfare participation on parenting stress and parental engagement using an instrumental variables approach: Evidence from the Supplemental Nutrition Assistance Program," Children and Youth Services Review, Elsevier, vol. 121(C).
    11. Imbens, Guido W., 2014. "Instrumental Variables: An Econometrician's Perspective," IZA Discussion Papers 8048, IZA Network @ LISER.
    12. Häusler, Mara-Magdalena & Zabel, Astrid, 2024. "Sites side by side: Can an agglomeration bonus with an adjacency rule connect agri-environmental sites?," Ecological Economics, Elsevier, vol. 224(C).
    13. Tsiboe, Francis & Turner, Dylan, 2023. "The crop insurance demand response to premium subsidies: Evidence from U.S. Agriculture," Food Policy, Elsevier, vol. 119(C).
    14. Paniagua, Victoria, 2022. "When clients vote for brokers: How elections improve public goods provision in urban slums," World Development, Elsevier, vol. 158(C).
    15. Hudak, Katelin M. & Racine, Elizabeth F., 2021. "Do additional SNAP benefits matter for child weight?: Evidence from the 2009 benefit increase," Economics & Human Biology, Elsevier, vol. 41(C).
    16. Kevin Arceneaux & Johanna Dunaway & Martin Johnson & Ryan J. Vander Wielen, 2020. "Strategic Candidate Entry and Congressional Elections in the Era of Fox News," American Journal of Political Science, John Wiley & Sons, vol. 64(2), pages 398-415, April.
    17. Waehrer, Geetha & Deb, Partha & Decker, Sandra L., 2015. "Did the 2009 American Recovery and Reinvestment Act affect dietary intake of low-income individuals?," Economics & Human Biology, Elsevier, vol. 19(C), pages 170-183.
    18. Lorenzo Almada & Ian McCarthy & Rusty Tchernis, 2016. "What Can We Learn about the Effects of Food Stamps on Obesity in the Presence of Misreporting?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(4), pages 997-1017.
    19. Elizabeth L Brannon, 2025. "Labored legacies: The post-conflict implications of women’s wartime participation," Journal of Peace Research, Peace Research Institute Oslo, vol. 62(6), pages 1629-1645, November.
    20. Isenhardt, Lars & Seifert, Stefan & Hüttel, Silke, "undated". "On the price effect of a right of first refusal in farmland auctions," 61st Annual Conference, Berlin, Germany, September 22-24, 2021 317062, German Association of Agricultural Economists (GEWISOLA).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:socmed:v:192:y:2017:i:c:p:112-124. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.