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

Publication Search Results

Now showing 1 - 5 of 5
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    Estimating Poverty in the Absence of Consumption Data : The Case of Liberia
    (World Bank Group, Washington, DC, 2014-09) Dabalen, Andrew ; Graham, Errol ; 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.
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    Can Agricultural Households Farm Their Way Out of Poverty?
    (World Bank Group, Washington, DC, 2014-11) Oseni, Gbemisola ; McGee, Kevin ; Dabalen, Andrew
    This paper examines the determinants of agricultural productivity and its link to poverty using nationally representative data from the Nigeria General Household Survey Panel, 2010/11. The findings indicate an elasticity of poverty reduction with respect to agricultural productivity of between 0.25 to 0.3 percent, implying that a 10 percent increase in agricultural productivity will decrease the likelihood of being poor by between 2.5 and 3 percent. To increase agricultural productivity, land, labor, fertilizer, agricultural advice, and diversification within agriculture are the most important factors. As commonly found in the literature, the results indicate the inverse-land size productivity relationship. More specifically, a 10 percent increase in harvested land size will decrease productivity by 6.6 percent, all else being equal. In a simulation exercise where land quality is assumed to be constant across small and large holdings, the results show that if farms in the top land quintile had half the median yield per hectare of farms in the lowest quintile, production of the top quintile would be 10 times higher. The higher overall values of harvests from larger land sizes are more likely because of cultivation of larger expanses of land, rather than from efficient production. It should be noted that having larger land sizes in itself is not positively correlated with a lower likelihood of being poor. This is not to say that having larger land sizes is not important for farming, but rather it indicates that increasing efficiency is the more important need that could lead to poverty reduction for agricultural households.
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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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    A Global Count of the Extreme Poor in 2012: Data Issues, Methodology and Initial Results
    (World Bank, Washington, DC, 2015-10) Ferreira, Francisco H. G. ; Chen, Shaohua ; Dabalen, Andrew ; Dikhanov, Yuri ; Hamadeh, Nada ; Jolliffe, Dean ; Narayan, Ambar ; Prydz, Espen Beer ; Revenga, Ana ; Sangraula, Prem ; Serajuddin, Umar ; Yoshida, Nobuo
    The 2014 release of a new set of purchasing power parity conversion factors (PPPs) for 2011 has prompted a revision of the international poverty line. In order to preserve the integrity of the goalposts for international targets such as the Sustainable Development Goals and the World Bank’s twin goals, the new poverty line was chosen so as to preserve the definition and real purchasing power of the earlier $1.25 line (in 2005 PPPs) in poor countries. Using the new 2011 PPPs, the new line equals $1.90 per person per day. The higher value of the line in US dollars reflects the fact that the new PPPs yield a relatively lower purchasing power of that currency vis-à-vis those of most poor countries. Because the line was designed to preserve real purchasing power in poor countries, the revisions lead to relatively small changes in global poverty incidence: from 14.5 percent in the old method to 14.1 percent in the new method for 2011. In 2012, the new reference year for the global count, we find 12.7 percent of the world’s population, or 897 million people, are living in extreme poverty. There are changes in the regional composition of poverty, but they are also relatively small. This paper documents the detailed methodological decisions taken in the process of updating both the poverty line and the consumption and income distributions at the country level, including issues of inter-temporal and spatial price adjustments. It also describes various caveats, limitations, perils and pitfalls of the approach taken.
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    History of Events and Life-satisfaction in Transition Countries
    ( 2011-01-01) Dabalen, Andrew ; Paul, Saumik
    Using Life in Transition Survey data for 27 transition countries, the findings of this paper suggest that higher life satisfaction is correlated with lesser experience of unpleasant events such as labor market shock or economic distress, mostly in the recent past. Social capital such as trust, participation in civic groups, and financial stability lead to higher satisfaction, whereas lower relative position to a reference group leaves one with lower life satisfaction. The paper also finds substantial regional variation in life satisfaction between European, Balkan, and lower and middle-income Commonwealth of Independent States. Finally, after controlling for various events that took place during the interview and the nature of refusal of the respondents across countries, the authors show that reported life satisfaction is lower if the emotional state is negative during the interview.