Dabalen, Andrew

Chief Economist, Africa, World Bank
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Poverty, Inequality, Economics of education, Development economics, Labor economics
Chief Economist, Africa, World Bank
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Last updated January 31, 2023
Andrew Dabalen is the World Bank’s Africa Region Chief Economist since July 1, 2022. The Chief Economist is responsible for providing guidance on strategic priorities and the technical quality of economic analysis in the region, as well as for developing major regional economic studies, among other roles. He has held various positions including Senior Economist in the World Bank’s Europe and Central Asia Region, Lead Economist and Practice Manager for Poverty and Equity in Africa and most recently, Practice Manager for Poverty and Equity in the South Asia Region. His research and scholarly publications focused on poverty and social impact analysis, inequality of opportunity, program evaluation, risk and vulnerability, labor markets, and conflict and welfare outcomes. He has co-authored regional reports on equality of opportunity for children in Africa, vulnerability and resilience in the Sahel, and poverty in a rising Africa. He holds a master’s degree in International Development from University of California - Davis, and a PhD in Agricultural and Resource Economics from University of California - Berkeley.
Citations 57 Scopus

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Now showing 1 - 2 of 2
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    Can We Measure Resilience? A Proposed Method and Evidence from Countries in the Sahel
    (World Bank Group, Washington, DC, 2015-01) Alfani, Federica ; Dabalen, Andrew ; Fisker, Peter ; Molini, Vasco
    Although resilience has become a popular concept in studies of poverty and vulnerability, it has been difficult to obtain a credible measure of resilience. This difficulty is because the data required to measure resilience, which involves observing household outcomes over time after every exposure to a shock, are usually unavailable in many contexts. This paper proposes a new method for measuring household resilience using readily available cross section data. Intuitively, a household is considered resilient if there is very little difference between the pre- and post-shock welfare. By obtaining counterfactual welfare for households before and after a shock, households are classified as chronically poor, non-resilient, and resilient. This method is applied to four countries in the Sahel. It is found that Niger, Burkina Faso, and Northern Nigeria have high percentages of chronically poor: respectively, 48, 34, and 27 percent. In Senegal, only 4 percent of the population is chronically poor. The middle group, the non-resilient, accounts for about 70 percent of the households in Senegal, while in the other countries it ranges between 34 and 38 percent. Resilient households account for about 33 percent in all countries except Niger, where the share is around 18 percent.
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    Vulnerability to Stunting in the West African Sahel
    (Elsevier, 2019-02) Alfani, Federica ; Dabalen, Andrew ; Fisker, Peter ; Molini, Vasco
    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.