Factors Explaining Child Survival in Ethiopia: Application of Two‐Stage Probit Model

Abayomi Samuel Oyekale

African Development Review, 2014, vol. 26, issue 2, 237-249

Abstract: Policymakers in many developing countries had been mandated to pursue the goal of reducing child mortality as one of the Millennium Development Goals (MDGs). This paper analyses the factors influencing child survival in Ethiopia using a 2011 Demographic and Health Survey (DHS) dataset. Descriptive statistics and two‐stage least square probit regression were employed for data analyses. Results showed that the majority of the children (82.19 per cent) were born to households in rural areas, while average household heads' age was 42.78 years. Using combined children data, fertility, age of household heads, residence in urban areas, drinking of alcohol and smoking significantly reduced probability of child survival, while altitude, education, male household headship, age at first birth and rendering of assistance on domestic chores by the husband increased it (p

Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://doi.org/10.1111/1467-8268.12078

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:afrdev:v:26:y:2014:i:2:p:237-249

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=1017-6772

Access Statistics for this article

African Development Review is currently edited by John C. Anyanwu, Hassan Aly and Kupukile Mlambo

More articles in African Development Review from African Development Bank Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().