IDEAS home Printed from https://ideas.repec.org/p/fpr/nsspwp/45.html
   My bibliography  Save this paper

Study of the determinants of chronic malnutrition in northern Nigeria: Quantitative evidence from the Nigeria Demographic and Health Surveys:

Author

Listed:
  • Amare, Mulubrhan
  • Benson, Todd
  • Fadare, Olusegun
  • Oyeyemi, Motunrayo

Abstract

To better understand the drivers of chronic child undernutrition in northern Nigeria and how those drivers differ from other areas of the country, this paper presents the results of an econometric analysis of data from the 2008 and 2013 Nigeria Demographic and Health Surveys. A standard child-level regression based approach is used for the first part of the analysis using as the dependent variable whether the child aged 6 to 23 months is stunted (height-for-age z-score (HAZ)

Suggested Citation

  • Amare, Mulubrhan & Benson, Todd & Fadare, Olusegun & Oyeyemi, Motunrayo, 2017. "Study of the determinants of chronic malnutrition in northern Nigeria: Quantitative evidence from the Nigeria Demographic and Health Surveys:," NSSP working papers 45, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:nsspwp:45
    as

    Download full text from publisher

    File URL: https://www.ifpri.org/cdmref/p15738coll2/id/131436/filename/131648.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Benson, Todd & Amare, Mulubrhan & Oyeyemi, Motunrayo & Fadare, Olusegun, 2017. "Study of the Determinants of Chronic Malnutrition in Northern Nigeria: Qualitative Evidence from Kebbi and Bauchi States," Feed the Future Innovation Lab for Food Security Policy Research Papers 265409, Michigan State University, Department of Agricultural, Food, and Resource Economics, Feed the Future Innovation Lab for Food Security (FSP).
    2. Osafu Augustine Egbon & Omodolapo Somo-Aina & Ezra Gayawan, 2021. "Spatial Weighted Analysis of Malnutrition Among Children in Nigeria: A Bayesian Approach," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 13(3), pages 495-523, December.
    3. Olutayo Adeyemi & Mariama Toure & Namukolo Covic & Mara Bold & Nicholas Nisbett & Derek Headey, 2022. "Understanding drivers of stunting reduction in Nigeria from 2003 to 2018: a regression analysis," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(4), pages 995-1011, August.

    More about this item

    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:fpr:nsspwp:45. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/ifprius.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.