Inequality of Opportunity in Education: The Case of Morocco

2016 ◽  
Author(s):  
Youness Sahibi ◽  
Moustapha Hamzaoui
2018 ◽  
Author(s):  
Alan Fuchs ◽  
Sailesh Tiwari ◽  
Akhmad Rizal Shidiq

Author(s):  
Nandini Krishnan ◽  
Gabriel Lara Ibarra ◽  
Ambar Narayan ◽  
Sailesh Tiwari ◽  
Tara Vishwanath

Author(s):  
Kristof Bosmans ◽  
Z. Emel Öztürk

AbstractWe develop a normative approach to the measurement of inequality of opportunity. That is, we measure inequality of opportunity by the welfare gain obtained in moving from the actual income distribution to the optimal income distribution of the total available income. Our study brings together the main approaches in the literature: we axiomatically characterize social welfare functions, we obtain prominent allocation rules as their optima, and we derive familiar classes of inequality of opportunity measures. Our analysis captures moreover the key philosophical distinctions in the literature: ex post versus ex ante compensation, and liberal versus utilitarian reward.


2019 ◽  
pp. 134-158
Author(s):  
Roberto Vélez Grajales ◽  
Luis A. Monroy-Gómez-Franco ◽  
Gastón Yalonetzky

Mexico is a country with high levels of inequality and low intergenerational social-mobility rates for those located at the bottom extremes of the wealth distribution. Although such low rates suggest that at least a share of the observed income inequality may be due to an unequal distribution of opportunities, this conjecture has not been thoroughly tested in the literature. The present article fills this gap estimating the lower bound of the contribution of unequal opportunities to income and wealth inequality in Mexico, with an operationalization of the “ex-ante” approach to the measurement of inequality of opportunity. Relying on a national representative survey designed for the analysis of social mobility, namely, the ESRU Survey on Social Mobility in Mexico (2011), we are able to define a broad set of circumstance groups (“types”), encompassing the wealth of the household of origin. This available information reduces the omitted variable bias of previous estimations and allows for a better account of the role of inequality of opportunity in income inequality. Our results show that the lower bound of the contribution of unequal opportunities to total income inequality and total wealth inequality is around 30 per cent, which is substantially higher than previous estimations for Mexico and ranks among the highest values in Latin America.


2021 ◽  
pp. 003464462110441
Author(s):  
Luis Monroy-Gómez-Franco ◽  
Roberto Vélez-Grajales ◽  
Gastón Yalonetzky

We document the contribution of skin color toward quantifying inequality of opportunity over a proxy indicator of wealth. Our Ferreira–Gignoux estimates of inequality of opportunity as a share of total wealth inequality show that once parental wealth is included as a circumstance variable, the share of inequality of opportunity rises above 40%, overall and for every age cohort. By contrast, the contribution of skin tone to total inequality of opportunity remains minor throughout.


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