Person:
Özler, Berk
Author Name Variants
Fields of Specialization
Poverty and inequality,
Social Protection,
Gender,
Maternal and Child Health
Degrees
External Links
Departments
Development Research Group
Externally Hosted Work
Contact Information
Last updated
August 22, 2023
Biography
Berk Özler is a lead economist in the Development Research Group, Poverty Cluster. He received his B.Sc. in Mathematics from Bosphorous University in 1991, and his Ph.D in Economics from Cornell University in 2001. After working on poverty and inequality measurement, poverty mapping, and the 2006 World Development Report on Equity and Development earlier, he decided to combine his interests in cash transfer programs and HIV risks facing young women in Africa by designing a field experiment in Malawi. He has since been involved in a number of cluster-randomized field experiments. He is a co-founder of and a regular contributor to the Development Impact blog.
Publication Search Results
1 - 3 of 3
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Publication
On the Unequal Inequality of Poor Communities
(World Bank, Washington, D.C., 2004-02)Important differences exist between communities with respect to their needs, capacities, and circumstances. As central governments are not able to discern these differences fully, they seek to achieve their policy objectives by relying on decentralized mechanisms that use local information. However, household and individual characteristics within communities can also vary substantially. A growing theoretical literature suggests that inequality within communities can influence policy outcomes, and that this influence could be harmful or helpful, depending on the circumstances. Empirical investigations into the impact of inequality have, to date, largely been held back by a lack of systematic evidence on community-level inequality. The authors use household survey and population census data to estimate per capita consumption inequality within communities in three developing countries: Ecuador, Madagascar, and Mozambique. Communities are found to vary markedly from one another in terms of the degree of inequality they exhibit. The authors also show that there should be no presumption that inequality is less severe in poor communities. They argue that the kind of community-level inequality estimates generated in this paper can be used in designing and evaluating decentralized antipoverty programs. -
Publication
Poverty Alleviation through Geographic Targeting: How Much Does Disaggregation Help?
(World Bank, Washington, D.C., 2004-10)Using recently completed "poverty maps" for Cambodia, Ecuador, and Madagascar, the authors simulate the impact on poverty of transferring an exogenously given budget to geographically defined subgroups of the population according to their relative poverty status. They find large gains from targeting smaller administrative units, such as districts or villages. But these gains are still far from the poverty reduction that would be possible had the planners had access to information on household level income or consumption. The results suggest that a useful way forward might be to combine fine geographic targeting using a poverty map with within-community targeting mechanisms. -
Publication
Local Inequality and Project Choice: Theory and Evidence from Ecuador
(World Bank, Washington, DC, 2006-08)This paper provides evidence consistent with elite capture of Social Fund investment projects in Ecuador. Exploiting a unique combination of data-sets on village-level income distributions, Social Fund project administration, and province level electoral results, the authors test a simple model of project choice when local political power is unequally distributed. In accordance with the predictions of the model, poorer villages are more likely to receive projects that provide excludable (private) goods to the poor, such as latrines. Controlling for poverty, more unequal communities are less likely to receive such projects. Consistent with the hypothesis of elite capture, these results are sensitive to the specific measure of inequality used in the empirical analysis, and are strongest for expenditure shares at the top of the distribution.