IDEAS home Printed from https://ideas.repec.org/a/jda/journl/vol.53year2019issue3pp107-121.html
   My bibliography  Save this article

Health Inequality In Bangladeshi Children Of Age 6–59 Months Using Hemoglobin Data: A Nonparametric Analysis

Author

Listed:
  • Ahmed Hoque
  • Shahriar Hasan
  • Bosu Seo

    (Vancouver Island University, Canada
    Vancouver Island University, Canada
    University of the Fraser Valley, Canada)

Abstract

We estimate anemia prevalence and the Gini coefficient and its sampling variance to assess the health inequality among Bangladeshi children of age 6–59 months using hemoglobin (Hb) data. Anemia, primarily determined by the level of Hb in the blood of an individual, is a global health problem affecting about two billion people, with the highest prevalence among preschool-age children. The data was obtained from the Bangladesh Demographic and Health Survey 2011, a nationally representative sample survey that aims to detail statistics useful for assessing changes in development, including child and maternal health, education, and poverty eradication. We calcualte anemia prevalence and perform nonparametric test, ?2 test, to assess the children’s health condition. To evaluate children’s health inequality using Hb data, we estimate the Gini coefficient and its sampling variance using an analytical variance formula and the standard bootstrap method. In both cases, the sample is classified by children’s gender, age group, place of residence and household wealth status, to ascertain causes of anemia and inequality in Hb. Our results suggest that more than half of the children aged 6–59 months in Bangladesh suffer from anemia, and age of a child, place of residence and household wealth status are significant contributors to this health problem. On the other hand, health inequality in children, when measured by the Gini coefficient using hemoglobin levels, is almost double the level that might be expected for a corresponding healthy population. Although it is predominantly a national concern, we find no other factors than the age of a child plays an important role in inequality. With a significantly larger Gini coefficient, the Hb inequality among children under two years of age group is worse than children in the older age group (24–59 months). There are at least two policy implications of our findings. First, Bangladesh being a resource scare country, it’s policies should be directed focusing more on children under two living in rural areas and poor households to eradicate anemia crisis. Second, to reduce children’s health equality, when measured using the Hb level, those under two should primarily be targeted with immediate actions. Such actions can include educating parents on feeding young children following recommended guidelines and supporting households to increase nutritious food supply.

Suggested Citation

  • Ahmed Hoque & Shahriar Hasan & Bosu Seo, 2019. "Health Inequality In Bangladeshi Children Of Age 6–59 Months Using Hemoglobin Data: A Nonparametric Analysis," Journal of Developing Areas, Tennessee State University, College of Business, vol. 53(3), pages 107-121, Summer.
  • Handle: RePEc:jda:journl:vol.53:year:2019:issue3:pp:107-121
    as

    Download full text from publisher

    File URL: https://muse.jhu.edu/article/715372/pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Xiaoshi Zhou & Wanglin Ma & Gucheng Li & Huanguang Qiu, 2020. "Farm machinery use and maize yields in China: an analysis accounting for selection bias and heterogeneity," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1282-1307, October.

    More about this item

    Keywords

    Anemia; Gini Coefficient; Health Inequality; Children’s Health; Bangladesh;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General

    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:jda:journl:vol.53:year:2019:issue3:pp:107-121. 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: Abu N.M. Wahid (email available below). General contact details of provider: https://edirc.repec.org/data/cbtnsus.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.