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Cited by 353

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Measuring inequality of opportunities in Latin America and the Caribbean

·2009·Choice Reviews Online

Abstract

Equality of opportunity is about leveling the playing field so that circumstances such as gender, ethnicity, place of birth, or family background do not influence a person's life chances. Success in life should depend on people's choices, effort and talents, not to their circumstances at birth. 'Measuring Inequality of Opportunities in Latin America and the Caribbean' introduces new methods for measuring inequality of opportunities and makes an assessment of its evolution in Latin America over a decade. An innovative Human Opportunity Index and other parametric and non-parametric techniques are presented for quantifying inequality based on circumstances exogenous to individual efforts. These methods are applied to gauge inequality of opportunities in access to basic services for children, learning achievement for youth, and income and consumption for adults. This publication belongs to the Latin American Development Forum Series (LADF), sponsored by the Inter-American Development Bank, the United Nations Economic Commission for Latin America and the Caribbean, and the World Bank.

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Metadata

Venue
Choice Reviews Online
Published
2009-08-01
Volume
46
Issue
12
Pages
46-6930-46-6930
ISSN
  • 0009-4978 (ISSN-L)
  • 1523-8253
OpenAlex
W1830751645
Cited by
353
References
1
Type
book review
Language
en
Open access
closed

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CoChat. (2026). Citation check: Measuring inequality of opportunities in Latin America and the Caribbean. https://app.cochat.ai/papers/10.5860/choice.46-6930
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Measuring inequality of opportunities in Latin America and the Caribbean. (2009). Choice Reviews Online. https://doi.org/10.5860/choice.46-6930

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.