Person:
Özler, Berk

Development Research Group
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Poverty and inequality, Social Protection, Gender, Maternal and Child Health
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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.
Citations 237 Scopus

Publication Search Results

Now showing 1 - 5 of 5
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    On the Unequal Inequality of Poor Communities
    (World Bank, Washington, D.C., 2004-02) Elbers, Chris ; Lanjouw, Peter F. ; Mistiaen, Johan ; Özler, Berk ; Simler, Ken
    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.
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    Poverty Alleviation through Geographic Targeting: How Much Does Disaggregation Help?
    (World Bank, Washington, D.C., 2004-10) Elbers, Chris ; Fujii, Tomoki ; Lanjouw, Peter ; Özler, Berk ; Yin, Wesley
    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.
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    On the Unequal Inequality of Poor Communities
    (World Bank, 2004-09-01) Elbers, Chris ; Lanjouw, Peter F. ; Mistiaen, Johan A. ; Özler, Berk ; Simler, Ken
    Communities differ in important ways in their needs, capacities, and circumstances. Because 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. Household and individual characteristics within communities can also vary substantially. A growing body of theoretical literature suggests that inequality within communities can influence policy outcomes in ways that are either harmful or helpful, depending on the circumstances. Until recently, empirical investigations into the impact of inequality have been held back by a lack of systematic evidence on community-level inequality. This study uses household survey and population census data to estimate per capita consumption inequality within communities in three developing economies. It finds that communities vary markedly in their degree of inequality. It also shows that there should be no presumption that inequality is less severe in poor communities. The kind of community-level inequality estimates generated here can be used in designing and evaluating decentralized antipoverty programs.
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    Re-Interpreting Sub-Group Inequality Decompositions
    (World Bank, Washington, DC, 2005-08) Elbers, Chris ; Lanjouw, Peter ; Mistiaen, Johan A. ; Özler, Berk
    The authors propose a modification to the conventional approach of decomposing income inequality by population sub-groups. Specifically, they propose a measure that evaluates observed between-group inequality against a benchmark of maximum between-group inequality that can be attained when the number and relative sizes of groups under examination are fixed. The authors argue that such a modification can provide a complementary perspective on the question of whether a particular population breakdown is salient to an assessment of inequality in a country. As their measure normalizes between-group inequality by the number and relative sizes of groups, it is also less subject to problems of comparability across different settings. The authors show that for a large set of countries their assessment of the importance of group differences typically increases substantially on the basis of this approach. The ranking of countries (or different population groups) can also differ from that obtained using traditional decomposition methods. Finally, they observe an interesting pattern of higher levels of overall inequality in countries where their measure finds higher between-group contributions.
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    Reinterpreting Between-Group Inequality
    ( 2008) Elbers, Chris ; Lanjouw, Peter ; Mistiaen, Johan A. ; Ozler, Berk
    We evaluate observed inequality between population groups against a benchmark of the maximum between-group inequality attainable given the number and relative sizes of those groups under examination. Because our measure is normalized by these parameters, drawing comparisons across different settings is less problematic than with conventional inequality decompositions. Moreover, our measure can decline with finer sub-partitioning of population groups. Consequently, the exact manner in which one groups the population acquires greater significance. Survey data from various countries suggest that our approach can provide a complementary perspective on the question of whether (and how much) a particular population breakdown is salient to an assessment of inequality in a country.