Gender, Ethnicity and Cumulative Disadvantage in Education
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WPS6734
Policy Research Working Paper
6734
Gender, Ethnicity and Cumulative Disadvantage
in Education
Evidence from Latin American and African Censuses
Emcet O. Tas
Maira Emy Reim?o
Maria Beatriz Orlando
The World Bank
Sustainable Development Network
Social Development Unit
December 2013
Policy Research Working Paper 6734
Abstract
This paper studies the impact of gender and ethnicity on
educational outcomes using cross-country evidence from
Bolivia, Mexico, Peru, Senegal, and Sierra Leone. It uses
the Minnesota Population Center¡¯s Integrated Public
Use Microdata Series-International database, which
includes individual-level data from large, harmonized,
and representative samples of country censuses. Using
an estimation method analogous to difference-indifferences, the paper finds that gender-based differences
in literacy, primary school completion, and secondary
school completion are larger for minority ethnic groups
compared with others or, alternatively, ethnicity-based
differences are larger for women compared with men.
The findings suggest that the intersection of gender and
ethnicity confers cumulative disadvantage for minority
groups, especially in Latin America. The paper discusses
the implications of these findings on the design of,
targeting in, and resource allocation for development
programs.
This paper is a product of the Social Development Unit, Sustainable Development Network. It is part of a larger effort by
the World Bank to provide open access to its research and make a contribution to development policy discussions around
the world. Policy Research Working Papers are also posted on the Web at . The authors may
be contacted at etas@.
The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development
issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the
names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those
of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and
its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.
Produced by the Research Support Team
Gender, Ethnicity and Cumulative Disadvantage in Education:
Evidence from Latin American and African Censuses
Emcet O. Tas
*
Maira Emy Reim?o ? Maria Beatriz Orlando ?
JEL classification: I24, J15, J16.
Keywords: Gender, ethnicity, intersectionality, education, school completion.
Sector Board: Social Development
*
?
?
World Bank, etas@.
University of California, Davis, mairaemy@.
World Bank. morlando@.
The authors gratefully acknowledge the feedback received from Maitreyi B. Das, Judith Morrison, Ana Maria
Mu?oz, Djibril Ndoye, Josefina Posadas, Samuel Freije-Rodriguez, Precious Zikhali, as well as the participants of
the conferences where this paper was presented. The latter included the Social Inclusion Seminar at the World Bank
headquarters in Washington, D.C.; 83rd Annual Meetings of the Southern Economic Association in Tampa; and 22nd
Annual Conference of the International Association for Feminist Economics at Stanford University, Palo Alto. The
findings, interpretations, and any remaining errors in this paper are entirely those of the authors.
Correspondence: Emcet O. Tas, The World Bank Group, MSN MC8-811, 1818 H Street NW, Washington, D.C.
20433, USA. Email: etas@. Tel: (+1) 202-458-8868.
1. Introduction
A large literature from poverty reduction to behavioral economics has documented that
development outcomes vary across social groups. Research on gender-based disparities, for
example, shows that there are significant gaps between men and women in a wide range of
outcomes, including earnings, human capital endowments, health, education and other labor
market outcomes (e.g. World Bank 2011a). Recently, welfare patterns related to other social
divisions have received attention as well, with studies indicating large differences across race,
ethnicity, caste and religious groups (e.g. Hall and Patrinos 2012, Das 2008, Das and Dutta
2008). As the link between different identities and outcomes are becoming clearer, more
complex questions arise: Do individuals and groups disadvantaged on the basis of one of their
identities face additional barriers because of the way their identities interact with each other? Do
these barriers result in cumulative disadvantages, indicating and/or contributing to exclusion of
certain groups from society?
As a concept, intersectionality has made important contributions to gender analysis by
prompting discussions about how to understand and analyze gender in combination with other
identities. The intersectional approach seeks to understand individuals¡¯ and groups¡¯ positions
within multiple systems of ¡°interlocking oppressions¡± (Collins 1999) and how the intersection of
multiple identities affect their wellbeing, experiences and social structures (Phoenix and
Pattynama 2006). The feminist literature highlights, for example, that day-to-day experiences of
ethnic minority women are drastically different from ethnic majority women, although both
groups fare worse than men in most outcomes. While what makes ethnicity exacerbate genderbased divisions (and vice versa) often requires a detailed understanding of the context in which
these relationships take place (Anthias 2012), existing data sources can help identify if the
intersection of gender and ethnicity is associated with systematic welfare disparities across
groups. The presence of such gaps can point to cumulative disadvantages that exclude
individuals and groups who possess multiple identities from certain outcomes.
2
This paper examines the intersectionality of gender and ethnicity in three education
outcomes included in the Millennium Development Goals (MDGs): literacy rate, primary school
completion, and secondary school completion. 4 It focuses on a select group of Latin American
and African countries for which recent census data is available, namely Bolivia, Mexico, Peru,
Senegal, and Sierra Leone. Controlling for age, age cohorts and urban/rural residence in a model
analogous to difference-in-differences, it compares the education outcomes of men and women
in ethnic minority groups with their counterparts in other groups. The analysis finds sizable gaps
in literacy and educational attainment based on gender and ethnicity, particularly in Latin
American countries. Moreover, the analysis of interaction terms shows that gender-based gaps
are generally larger for minority groups compared to others, or alternatively, ethnicity-based
gaps are greater for women compared to men. The intersection of gender and ethnicity implies
cumulative education disadvantages for ethnic minority women, which goes beyond the
individual effects of each of these two identities.
Given the role of education on individuals¡¯ life choices and the wellbeing of their
children, cumulative education disadvantages may contribute to the inter-generational
reproduction of poverty and deprivation patterns among minority groups. 5 Further, education
interventions which focus exclusively on universal coverage and gender parity in schooling¡ª
without considering how intersectionality of multiple identities mediates these outcomes¡ªmay
not successfully address the existing gaps. While this paper captures what can be considered a
symptom or outcome of identity-based exclusion, future research must explore the processes that
lead to inter-group disparities and move toward multifaceted interventions to redress the
overlapping roots of exclusion, especially for men and women in minority groups.
4
The education indicators in the Millennium Development Goals (MDGs) include the ratio of boys to girls in
primary and secondary school and the ratio of literate men to women aged 15-24. Our use of education
measurements (which are related, but not the same as these indicators) is partly due to data availability constraints,
as discussed in the data and methodology section.
5
See Dubow et al. (2009), Chevalier et al. (2010), and Behrman and Rosenzweig (2002) on the link between
mother¡¯s education and children¡¯s wellbeing.
3
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