The Evolution, Maintenance, and Reduction of Ethnic Inequalities

2021 ◽  
pp. 199-229
Author(s):  
Robert Klitgaard
Keyword(s):  
2021 ◽  
pp. 000203972110235
Author(s):  
Emily Dunlop

Education policy can embed ethnic inequalities in a country. Education in Burundi, with its historically exclusive political institutions and education, represents an important case for understanding these interactions. In this article, I interview twelve Burundians about how they experienced and perceived ethnicity and politics in their schooling from 1966 to 1993. I argue that education contributed to tangible and perceived social hierarchies based on ethnic inequalities. I show that this exclusion reflected both overt and covert policy goals, through proxies used to identify ethnicity in schools and through the exclusive nature of national exams at the time, which promoted members of the Tutsi minority at the expense of the majority Hutus. This study has implications for understanding how perceptions of inequality in education manifest as grievances against the state. It sheds light on the importance of understanding covert education policy as a potential mechanism for generating exclusion and contributing to conflict.


The Lancet ◽  
2006 ◽  
Vol 368 (9536) ◽  
pp. 645
Author(s):  
Takeharu Koga ◽  
Atsushi Kawaguchi ◽  
Hisamichi Aizawa

2021 ◽  
Author(s):  
Nancy Armenta-Paulino ◽  
Fernando C. Wehrmeister ◽  
Luisa Arroyave ◽  
Aluisio Barros ◽  
Cesar G. Victora

2021 ◽  
Vol 40 (10) ◽  
pp. 1644-1653
Author(s):  
Elizabeth Wrigley-Field ◽  
Sarah Garcia ◽  
Jonathon P. Leider ◽  
David Van Riper

2018 ◽  
Vol 28 (3) ◽  
pp. 201
Author(s):  
Fatma W. Nazer ◽  
Wael Sabbah

<p class="Pa7"><strong>Objective: </strong>To assess whether there are ethnic differences in tooth loss among adult Americans aged &lt;40 years and whether socioeconomic position attenuates these differences if they exist.</p><p class="Pa7"><strong>Methods: </strong>Data were from the 2014 Behavioral Risk Factor Surveillance System, a health-related telephone cross-sectional survey of a nationally representative sample of US adults. Tooth loss (one tooth or more) was used as the outcome variable. Ethnicity was the main explanatory variable. Family income, education and health insurance were also used in the analysis. Logistic regression models for tooth loss were constructed adjusting for demographic (age, sex, and ethnicity), socioeconomic indica­tors (income and education), health insur­ance, dental visits, smoking and diabetes.</p><p class="Pa7"><strong>Results: </strong>A total of 76,273 participants were included in the analysis. The prevalence of tooth loss was highest among Blacks (33.7%). Hispanics and other ethnic groups had a higher prevalence of tooth loss than Whites, 29.1% (95%CI: 27.7-30.6), 22.0% (95%CI: 20.3-23.8), and 20.8% (95%CI: 20.2-21.4), respectively. Blacks had odds ra­tios (OR) 1.98 (95%CI: 1.81-2.16) for tooth loss compared with Whites. After adjusting for socioeconomic positions (SEP), the rela­tionship attenuated but remained significant with OR 1.71 (95%CI: 1.55-1.90).</p><p class="Default"><strong>Conclusions: </strong>Despite recent changes in the health care system in the United States, ethnic inequalities in tooth loss still exist. Income and education partially explained ethnic differences in tooth loss among Americans aged &lt;40 years.</p><p class="Default"><em>Ethn Dis. </em>2018;28(3):201-206; doi:10.18865/ ed.28.3.201</p>


2016 ◽  
pp. bcw165 ◽  
Author(s):  
Paul Bywaters ◽  
Josephine Kwhali ◽  
Geraldine Brady ◽  
Tim Sparks ◽  
Elizabeth Bos

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