Person:
Dabalen, Andrew
Author Name Variants
Fields of Specialization
Poverty,
Inequality,
Economics of education,
Development economics,
Labor economics
Degrees
Departments
Chief Economist, Africa, World Bank
Externally Hosted Work
Contact Information
Last updated
January 31, 2023
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.
Publication Search Results
1 - 9 of 9
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Publication
Collecting High-Frequency Data Using Mobile Phones : Do Timely Data Lead to Accountability?
(World Bank, Washington, DC, 2013-01)As mobile phone ownership rates have risen dramatically in Africa, there has been increased interest in using mobile telephones as a data collection platform. This note draws on two largely successful pilot projects in Tanzania and South Sudan that used mobile phones for high-frequency data collection. Data were collected on a wide range of topics and in a manner that was cost-effective, flexible, and rapid. Once households were included in the survey, they tended to stick with it: respondent fatigue has not been a major issue. While attrition and nonresponse have been challenges in the Tanzania survey, these were due to design flaws in that particular survey, challenges that can be avoided in future similar projects. Ensuring use of the data to demand better service delivery and policy decisions turned out to be as challenging as collecting the high-quality data. Experiences in Tanzania suggest that good data can be translated into public accountability, but also demonstrate that just putting data out in the public domain is not enough. This note discusses lessons learned and offers suggestions for future applications of mobile phone surveys in developing countries, such as those planned for the World Bank's "Listening to Africa" initiative. -
Publication
Collecting High Frequency Panel Data in Africa Using Mobile Phone Interviews
(World Bank, Washington, DC, 2012-06)As mobile phone ownership rates have risen in Africa, there is increased interest in using mobile telephony as a data collection platform. This paper draws on two pilot projects that use mobile phone interviews for data collection in Tanzania and South Sudan. The experience was largely a success. High frequency panel data have been collected on a wide range of topics in a manner that is cost effective, flexible (questions can be changed over time) and rapid. And once households respond to the mobile phone interviews, they tend not to drop out: even after 33 rounds of interviews in the Tanzania survey, respondent fatigue proved not to be an issue. Attrition and non-response have been an issue in the Tanzania survey, but in ways that are related to the way this survey was originally set up and that are fixable. Data and reports from the Tanzania survey are available online and can be downloaded from: www.listeningtodar.org. -
Publication
Estimating the Causal Effects of Conflict on Education in Côte d'Ivoire
(World Bank, Washington, DC, 2012-06)This paper estimates the causal effects of civil war on years of education in the context of a school-going age cohort that is exposed to armed conflict in Cote d'Ivoire. Using year and department of birth to identify an individual's exposure to war, the difference-in-difference outcomes indicate that the average years of education for a school-going age cohort is .94 years fewer compared with an older cohort in war-affected regions. To minimize the potential bias in the estimated outcome, the authors use a set of victimization indicators to identify the true effect of war. The propensity score matching estimates do not alter the main findings. In addition, the outcomes of double-robust models minimize the specification errors in the model. Moreover, the paper finds the outcomes are robust across alternative matching methods, estimation by using subsamples, and other education outcome variables. Overall, the findings across different models suggest a drop in average years of education by a range of .2 to .9 fewer years. -
Publication
Estimating Poverty in the Absence of Consumption Data : The Case of Liberia
(World Bank Group, Washington, DC, 2014-09)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
Can We Measure Resilience? A Proposed Method and Evidence from Countries in the Sahel
(World Bank Group, Washington, DC, 2015-01)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
Vulnerability to Malnutrition in the West African Sahel
(World Bank Group, Washington, DC, 2015-01)This study estimates marginal increase in malnutrition for children ages 1-3 years from exposure to an extreme shock in the West African Sahel. The study uses knowledge of a child's birth and high resolution spatial and temporal distribution of shocks, calculated from the Normalized Difference Vegetation Index and satellite-based measures of rainfall and temperature to link a child to the shock experienced in-utero. The study finds that while around 20 percent of the children in the sample are stunted or underweight, more than 30 percent of the children in the sample are highly vulnerable to either form of malnutrition. -
Publication
A Global Count of the Extreme Poor in 2012: Data Issues, Methodology and Initial Results
(World Bank, Washington, DC, 2015-10)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. -
Publication
Data Deprivation: Another Deprivation to End
(World Bank, Washington, DC, 2015-04)The Millennium Development Goal of halving the incidence of extreme poverty from its 1990 level will be achieved in 2015, and the international development community is now moving to a new goal of “ending extreme poverty.” However, the data needed to monitor progress remain severely limited. During the 10 year period between 2002 and 2011, as many as 57 countries have zero or only one poverty estimate. This paper refers to such lack of poverty data as “data deprivation,” because the poor are often socially marginalized and voiceless, and the collection of objective and quantitative data is crucial in locating them and formulating policy to help them exit extreme deprivation. This paper studies the extent of data deprivation and proposes targets for ending data deprivation by 2030—the year by when the international community aims to end extreme poverty. According to the analysis in this paper, this target is ambitious but possible, and achieving it is necessary to be able to declare the end of extreme poverty with confidence. -
Publication
Is Poverty in Africa Mostly Chronic or Transient?: Evidence from Synthetic Panel Data
(World Bank, Washington, DC, 2017-04)Absent actual panel household survey data, this paper constructs, for the first time, synthetic panel data for more than 20 countries accounting for two-thirds of the population in Sub-Saharan Africa. In this process, the analysis employs repeated cross sections that span, on average, a six-year period for each country. The analysis suggests that all these countries as a whole have had pro-poor growth. One-third of the poor population escaped poverty during the studied period, which is larger than the proportion of the population that fell into poverty in the same period. The region also saw a 9 percent reduction in poverty and a 28 percent increase in the size of the middle class. However, chronic poverty remains high, and a considerable proportion of the population is vulnerable to falling into poverty. There is some limited evidence that most resource-rich and middle-income countries have more upward mobility than downward mobility. Post-secondary education is especially strongly associated with higher upward mobility and less downward mobility, which holds to some extent for female-headed and urban households.