Vulnerability to stunting in the West African Sahel

Federica Alfani; Andrew Dabalen; Peter Fisker; Vasco Molini

doi:10.1016/j.foodpol.2018.11.002

Vulnerability to stunting in the West African Sahel

Federica Alfani, Andrew Dabalen, Peter Fisker, Vasco Molini^*

^*Corresponding author for this work

2 Citations (Scopus)

Abstract

This paper presents a simple simulation framework for understanding and analyzing vulnerability to stunting. We utilize Demographic and Health Surveys merged with satellite data on climatic shocks. Children aged 0–5 years are grouped into three categories: consistently stunted, vulnerable, and non-vulnerable. The first group constitutes those who are stunted and will also be stunted in any hypothetical period. Non-vulnerable are those whose likelihood to be stunted is zero. The vulnerable face a probability between 0 and 1 of being stunted. The probability is calculated as the share of years in which the child would be stunted, given the village level distribution of weather shocks over the period 2000–2013. We provide estimates of vulnerability to stunting in Burkina Faso, Northern Ghana, Mali, Northern Nigeria, and Senegal by aggregating over villages, districts and countries.

Original language	English
Journal	Food Policy
Volume	83
Pages (from-to)	39-47
ISSN	0306-9192
DOIs	https://doi.org/10.1016/j.foodpol.2018.11.002
Publication status	Published - Feb 2019

Keywords

Climatic shocks
Sahel
Stunting
Vulnerability

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10.1016/j.foodpol.2018.11.002

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title = "Vulnerability to stunting in the West African Sahel",

abstract = "This paper presents a simple simulation framework for understanding and analyzing vulnerability to stunting. We utilize Demographic and Health Surveys merged with satellite data on climatic shocks. Children aged 0–5 years are grouped into three categories: consistently stunted, vulnerable, and non-vulnerable. The first group constitutes those who are stunted and will also be stunted in any hypothetical period. Non-vulnerable are those whose likelihood to be stunted is zero. The vulnerable face a probability between 0 and 1 of being stunted. The probability is calculated as the share of years in which the child would be stunted, given the village level distribution of weather shocks over the period 2000–2013. We provide estimates of vulnerability to stunting in Burkina Faso, Northern Ghana, Mali, Northern Nigeria, and Senegal by aggregating over villages, districts and countries.",

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T1 - Vulnerability to stunting in the West African Sahel

AU - Alfani, Federica

AU - Dabalen, Andrew

AU - Fisker, Peter

AU - Molini, Vasco

PY - 2019/2

Y1 - 2019/2

N2 - This paper presents a simple simulation framework for understanding and analyzing vulnerability to stunting. We utilize Demographic and Health Surveys merged with satellite data on climatic shocks. Children aged 0–5 years are grouped into three categories: consistently stunted, vulnerable, and non-vulnerable. The first group constitutes those who are stunted and will also be stunted in any hypothetical period. Non-vulnerable are those whose likelihood to be stunted is zero. The vulnerable face a probability between 0 and 1 of being stunted. The probability is calculated as the share of years in which the child would be stunted, given the village level distribution of weather shocks over the period 2000–2013. We provide estimates of vulnerability to stunting in Burkina Faso, Northern Ghana, Mali, Northern Nigeria, and Senegal by aggregating over villages, districts and countries.

AB - This paper presents a simple simulation framework for understanding and analyzing vulnerability to stunting. We utilize Demographic and Health Surveys merged with satellite data on climatic shocks. Children aged 0–5 years are grouped into three categories: consistently stunted, vulnerable, and non-vulnerable. The first group constitutes those who are stunted and will also be stunted in any hypothetical period. Non-vulnerable are those whose likelihood to be stunted is zero. The vulnerable face a probability between 0 and 1 of being stunted. The probability is calculated as the share of years in which the child would be stunted, given the village level distribution of weather shocks over the period 2000–2013. We provide estimates of vulnerability to stunting in Burkina Faso, Northern Ghana, Mali, Northern Nigeria, and Senegal by aggregating over villages, districts and countries.

KW - Climatic shocks

KW - Sahel

KW - Stunting

KW - Vulnerability

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U2 - 10.1016/j.foodpol.2018.11.002

DO - 10.1016/j.foodpol.2018.11.002

M3 - Journal article

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SN - 0306-9192

VL - 83

SP - 39

EP - 47

JO - Food Policy

JF - Food Policy

ER -

Vulnerability to stunting in the West African Sahel

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Keywords

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