Person:
Dabalen, Andrew

Chief Economist, Africa, World Bank

Fields of Specialization

Poverty, Inequality, Economics of education, Development economics, Labor economics

Departments

Chief Economist, Africa, World Bank

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.

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Publication Search Results

Now showing 1 - 10 of 27

Sources of the Persistent Gender Wage Gap along the Unconditional Earnings Distribution : Findings from Kenya

(Taylor and Francis, 2013-03-12) Agesa, Richard U. ; Agesa, Jacqueline ; Dabalen, Andrew

Past studies on gender wage inequality in Africa typically attribute the gender pay gap either to gender differences in characteristics or in the return to characteristics. The authors suggest, however, that this understanding of the two sources may be far too general and possibly overlook the underlying covariates that drive the gender wage gap. Moreover, past studies focus on the gender wage gap exclusively at the conditional mean. The authors go further to evaluate the partial contribution of each wage-determining covariate to the magnitude of the gender pay gap along the unconditional earnings distribution. The authors' data are from Kenya, and their empirical technique mirrors re-centered influence function regressions. The authors' results are novel and suggest that while gender differences in characteristics and the return to characteristics widen the gender pay gap at the lower end of the wage distributions, gender differences in characteristics widen the gender wage gap at the upper end of the wage distributions. Importantly, the authors find that the underlying covariates driving gender differences in characteristics and the return to characteristics are the industry, occupation, higher education and region covariates. In the middle of the distributions, however, the authors find that gender differences in the return to characteristics, fueled by education and experience covariates, exert the strongest influence on the magnitude of the gender pay gap.
Collecting High-Frequency Data Using Mobile Phones : Do Timely Data Lead to Accountability?

(World Bank, Washington, DC, 2013-01) Croke, Kevin ; Dabalen, Andrew ; Demombynes, Gabriel ; Giugale, Marcelo ; Hoogeveen, Johannes

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.
The Effects of the Intensity, Timing, and Persistence of Personal History of Mobility on Support for Redistribution

(World Bank, Washington, DC, 2014-03) Dabalen, Andrew ; Parinduri, Rasyad ; Paul, Saumik

This paper examines the association between the intensity, timing, and persistence of personal history of mobility on individual support for redistribution. Using both rounds of the Life in Transition Survey, the paper builds measures of downward mobility for about 57,000 individuals from 27 countries in Eastern Europe and Central Asia. The analysis finds that more intensive, recent, and persistent downward mobility increases support for redistribution more. A number of extensions and checks are done by, among others, taking into account systematic bias in perceived mobility experience, considering an alternative definition of redistributive preferences, and exploring the severity of omitted variable bias problems. Overall, the results are robust.
Collecting High Frequency Panel Data in Africa Using Mobile Phone Interviews

(World Bank, Washington, DC, 2012-06) Croke, Kevin ; Dabalen, Andrew ; Demombybes, Gabriel ; Giugale, Marcelo ; Hoogeveen, Johannes

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.
Estimating the Causal Effects of Conflict on Education in Côte d'Ivoire

(World Bank, Washington, DC, 2012-06) Dabalen, Andrew L. ; Paul, Saumik

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.
Do African Children Have an Equal Chance? : A Human Opportunity Report for Sub-Saharan Africa

(Washington, DC: World Bank, 2015) Dabalen, Andrew ; Narayan, Ambar ; Saavedra-Chanduvi, Jaime ; Suarez, Alejandro Hoyos ; 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.
Collecting High Frequency Panel Data in Africa Using Mobile Phone Interviews

(Taylor and Francis, 2014-04-01) Hoogeveen, Johannes ; Croke, Kevin ; Dabalen, Andrew ; Demombynes, Gabriel ; Giugale, Marcelo

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. In both cases, high frequency panel data have been collected on a wide range of topics in a manner that is cost effective, flexible and rapid. Attrition has been problematic in both surveys, but can be explained by the resource and organizational constraints that both surveys faced. We analyze the drivers of attrition to generate ideas for how to improve performance in future mobile phone surveys.
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.
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.
Estimating the Effects of Conflict on Education in Côte d’Ivoire

(Taylor and Francis, 2014-12-14) Dabalen, Andrew L. ; Paul, Saumik

This article evaluates the effect of armed conflict on years of schooling in Côte d’Ivoire. We combine differences in conflict intensity across departments and differences across age cohorts to identify an individual’s indirect exposure to conflict. The difference-in-difference outcomes indicate that the average years of education for a school-going-age cohort is 0.94 years fewer compared to an older cohort in conflict-affected regions. We further use a set of victimization indicators to identify the direct effect of conflict. Overall, the findings across different models suggest a drop in average years of education by a range of 0.2 to 0.9 fewer years. The estimated effect is larger for males and individuals between 19 and 22 years of age.