IDEAS home Printed from https://ideas.repec.org/p/ags/aaea16/235560.html
   My bibliography  Save this paper

Neighborhood matter: Variation in food insecurity not explained by household characteristics

Author

Listed:
  • Olabiyi, Olayemi
  • McIntyre, Lynn

Abstract

This study investigated the relationship between the social and economic contexts of neighborhoods and household food insecurity. Four years of data (2007 through 2010) drawn from the nationally representative Canadian Community Health Survey, which measures food insecurity using the Household Food Security Survey Module, were matched with the 2006 Census. Economic and social indicators from Census tracts were aggregated to the level of provincial and territorial health regions. Using random intercept logistic multi-level modeling in a Bayesian environment, with household characteristics and health region characteristics as level 1 and level 2, respectively, it was found that 14% of the variations in food insecurity prevalence lies between neighborhoods. After controlling for relevant household-level predictors, the prevalence of female-lone parent led households in a neighborhood raised the population prevalence of food insecurity by 2% as did low average household income. Therefore, the social and economic contexts in which households reside contribute independently to increased food insecurity among their residents. They reveal important differences in quality of life across Canadian provinces and territories.

Suggested Citation

  • Olabiyi, Olayemi & McIntyre, Lynn, 2016. "Neighborhood matter: Variation in food insecurity not explained by household characteristics," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235560, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea16:235560
    DOI: 10.22004/ag.econ.235560
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/235560/files/Multilevel%20logistic%20analysis%20of%20household%20food%20insecurity.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.235560?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. Leckie, George & Charlton, Chris, 2013. "runmlwin: A Program to Run the MLwiN Multilevel Modeling Software from within Stata," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 52(i11).
    2. Daphne Hernandez & Kathleen Ziol-Guest, 2009. "Income Volatility and Family Structure Patterns: Association with Stability and Change in Food Stamp Program Participation," Journal of Family and Economic Issues, Springer, vol. 30(4), pages 357-371, December.
    3. Bartfeld, Judi & Dunifon, Rachel & Nord, Mark & Carlson, Steven, 2006. "What Factors Account for State-to-State Differences in Food Security?," Economic Information Bulletin 7086, United States Department of Agriculture, Economic Research Service.
    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. Alvarez, Camila H. & Evans, Clare Rosenfeld, 2021. "Intersectional environmental justice and population health inequalities: A novel approach," Social Science & Medicine, Elsevier, vol. 269(C).
    2. Jeffrey Anvari-Clark & David Ansong, 2022. "Predicting Financial Well-Being Using the Financial Capability Perspective: The Roles of Financial Shocks, Income Volatility, Financial Products, and Savings Behaviors," Journal of Family and Economic Issues, Springer, vol. 43(4), pages 730-743, December.
    3. Jong Eun Park & So Young Kim & Se Hee Kim & Eun Ju Jeoung & Jong Hyock Park, 2020. "Household Food Insecurity: Comparison between Families with and without Members with Disabilities," IJERPH, MDPI, vol. 17(17), pages 1-16, August.
    4. T. Chatzivasileiadis & F. Estrada & M. W. Hofkes & R. S. J. Tol, 2019. "Systematic Sensitivity Analysis of the Full Economic Impacts of Sea Level Rise," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1183-1217, March.
    5. Adenuga, Adewale Henry & Davis, John & Hutchinson, George & Donnellan, Trevor & Patton, Myles, 2018. "Estimation and determinants of phosphorus balance and use efficiency of dairy farms in Northern Ireland: A within and between farm random effects analysis," Agricultural Systems, Elsevier, vol. 164(C), pages 11-19.
    6. Evans, Clare R. & Erickson, Natasha, 2019. "Intersectionality and depression in adolescence and early adulthood: A MAIHDA analysis of the national longitudinal study of adolescent to adult health, 1995–2008," Social Science & Medicine, Elsevier, vol. 220(C), pages 1-11.
    7. Qi Zhang & Zhuo Chen & Norou Diawara & Youfa Wang, 2011. "Prices of Unhealthy Foods, Food Stamp Program Participation, and Body Weight Status Among U.S. Low-Income Women," Journal of Family and Economic Issues, Springer, vol. 32(2), pages 245-256, June.
    8. Sulis, Isabella & Giambona, Francesca & Porcu, Mariano, 2020. "Adjusted indicators of quality and equity for monitoring the education systems over time. Insights on EU15 countries from PISA surveys," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    9. Vanessa Hunn & Claudia Heath, 2011. "Path Analysis of Welfare Use: Depression as a Mediating Factor," Journal of Family and Economic Issues, Springer, vol. 32(2), pages 341-355, June.
    10. Francesca Giambona & Mariano Porcu & Isabella Sulis, 2023. "Does education protect families' well-being in times of crisis? Measurement issues and empirical findings from IT-SILC data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(1), pages 299-328, March.
    11. Giambona, Francesca & Porcu, Mariano, 2018. "School size and students' achievement. Empirical evidences from PISA survey data," Socio-Economic Planning Sciences, Elsevier, vol. 64(C), pages 66-77.
    12. Roberta Rutigliano & Gøsta Esping-Andersen, 2018. "Partnership Choice and Childbearing in Norway and Spain," European Journal of Population, Springer;European Association for Population Studies, vol. 34(3), pages 367-386, August.
    13. Andrew Bell & Kelvyn Jones, 2015. "Bayesian informative priors with Yang and Land’s hierarchical age–period–cohort model," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(1), pages 255-266, January.
    14. Baorong Guo, 2011. "Household Assets and Food Security: Evidence from the Survey of Program Dynamics," Journal of Family and Economic Issues, Springer, vol. 32(1), pages 98-110, March.
    15. Vojtěch Olbrecht, 2018. "Productivity Effect of Accessing the EU: Case of Bulgaria and Romania," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 4(1), pages 48-55.
    16. Evans, Clare R., 2019. "Adding interactions to models of intersectional health inequalities: Comparing multilevel and conventional methods," Social Science & Medicine, Elsevier, vol. 221(C), pages 95-105.
    17. Mark Amos, 2018. "Interviewer effects on patterns of nonresponse: Evaluating the impact on the reasons for contraceptive nonuse in the Indonesia and the Philippines DHS," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 39(14), pages 415-430.
    18. Alisha Coleman-Jensen, 2011. "Working for Peanuts: Nonstandard Work and Food Insecurity Across Household Structure," Journal of Family and Economic Issues, Springer, vol. 32(1), pages 84-97, March.
    19. Coleman-Jensen, Alisha & Rabbitt, Matthew P & Gregory, Christian A & Singh, Anita, 2021. "Household Food Security in the United States in 2020," Economic Research Report 327186, United States Department of Agriculture, Economic Research Service.
    20. Srivastava, Shobhit & Rashmi, & Paul, Ronak, 2021. "Urban-rural differential in neonatal and post-neonatal mortality clustering among Indian siblings: Evidence from National Family Health Survey 2015–16," Children and Youth Services Review, Elsevier, vol. 121(C).

    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:aaea16:235560. 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/aaeaaea.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.