Person:
Dabalen, Andrew

Chief Economist, Africa, World Bank
Loading...
Profile Picture
Author Name Variants
Fields of Specialization
Poverty, Inequality, Economics of education, Development economics, Labor economics
Degrees
ORCID
Departments
Chief Economist, Africa, World Bank
Externally Hosted Work
Contact Information
Last updated: January 10, 2025
Biography
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 63 Scopus

Publication Search Results

Now showing 1 - 5 of 5
  • Publication
    Do African Children Have an Equal Chance? : A Human Opportunity Report for Sub-Saharan Africa
    (Washington, DC: World Bank, 2015) Suarez, Alejandro Hoyos; Dabalen, Andrew; Narayan, Ambar; Saavedra-Chanduvi, Jaime; Abras, Ana; Tiwari, Sailesh
    This study explores the changing opportunities for children in Africa. While the definition of opportunities can be subjective and depend on the societal context, this report focuses on efforts to build future human capital, directly (through education and health investments) and indirectly (through complementary infrastructure such as safe water, adequate sanitation, electricity, and so on). It follows the practice of earlier studies conducted for the Latin America and the Caribbean (LAC) region (Barros et al. 2009, 2012) where opportunities are basic goods and services that constitute investments in children. Although several opportunities are relevant at different stages of an individual s life, our focus on children s access to education, health services, safe water, and adequate nutrition is due to the well-known fact that an individual s chance of success in life is deeply influenced by access to these goods and services early in life. Children s access to these basic services improves the likelihood of a child being able to maximize his/her human potential and pursue a life of dignity.
  • Publication
    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.
  • Publication
    Estimating Poverty in the Absence of Consumption Data : The Case of Liberia
    (World Bank Group, Washington, DC, 2014-09) Graham, Errol; Dabalen, Andrew; Himelein, Kristen; Mungai, Rose
    In much of the developing world, the demand for high frequency quality household data for poverty monitoring and program design far outstrips the capacity of the statistics bureau to provide such data. In these environments, all available data sources must be leveraged. Most surveys, however, do not collect the detailed consumption data necessary to construct aggregates and poverty lines to measure poverty directly. This paper benefits from a shared listing exercise for two large-scale national household surveys conducted in Liberia in 2007 to explore alternative methodologies to estimate poverty indirectly. The first is an asset-based model that is commonly used in Demographic and Health Surveys. The second is a survey-to-survey imputation that makes use of small area estimation techniques. In addition to a standard base model, separate models are estimated for urban and rural areas and an expanded model that includes climatic variables. Special attention is paid to the inclusion of cell phones, with implications for other assets whose cost and availability may be changing rapidly. The results demonstrate substantial limitations with asset-based indexes, but also leave questions as to the accuracy and stability of imputation models.
  • Publication
    Mental Health and Socio-Economic Outcomes in Burundi
    (World Bank, Washington, DC, 2004-11) Baingana, Florence; Dabalen, Andrew; Menye, Essimi; Prywes, Menahem; Rosholm, Michael
    This paper presents analysis of data from a survey of 5,599 respondents aged 10 years and older conducted country-wide in Burundi in 1998-99. The paper estimates statistically significant relationships between indicators of poor mental health and several social and economic outcomes. Most importantly, a worsening of mental health is associated with a decline in employment and with a decline in school enrollment of the subject's children. No relationship is found between mental health and poverty, once adjustments are made for demographic and regional influences. It argues that poor mental health diminishes people's participation in work and investment in their children's education through dysfunction resulting from psychiatric trauma and depression. Economic theory holds that investment in human capital, such as in education, will depend in part on expectations about the return on the investment.
  • Publication
    The Returns to Participation in the Nonfarm Sector in Rural Rwanda
    (World Bank, Washington, D.C., 2004-12) Paternostro, Stefano; Dabalen, Andrew; Pierre, Gaëlle
    In this paper, we investigate the differences in outcomes (earnings and consumption) between individuals (households) who participate in the non-farm sector and those who do not. We use propensity score matching methods, where we create appropriate comparison groups of individuals and households. First we find that non-farm self-employed individuals in rural Rwanda have significantly higher earnings than farm workers and non-farm formal employees. Second, we show that the benefits to non-farm self-employment are much higher among the non-poor than among the poor. Third, we show that diversified households, those with a farm and a non-farm enterprise, are less likely to be poor. Finally, farm households who do not participate in the market have significantly lower consumption levels than households that do. However, the benefits to market participation appear to matter less for the poor than for the non-poor. We find little difference in expenditures between market participants and non-market participants, for comparable households in the bottom 40% of the expenditure distribution.