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            Economic Inequality in Latin America

            Migration, Education and Structural Change

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            Auteur
            Villalobos Barría, Carlos
            Language
            English
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            Résumé
            Inequality in Latin America is very large and there is a great desire for greater social justice, inclusion and equal opportunities. In order to contribute to the understanding of such developments, this volume addresses the problem of economic inequality in Paraguay, Honduras and Chile. The studies show from different angles how an adverse family background has permanent negative effects on employment, wages and labour mobility, particularly in the presence of structural economic changes. In general, this book is a contribution to understand why inequality is highly persistent in Latin America, a place where low levels of income, poverty and vulnerability are likely to be passed on to the next generation.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/170675
            Keywords
            America; Barría; Change; Decomposition of Income; Economic; Education; Educational Inequality; Family Economics; Indigenous Background; Inequality; Latin; Migration; Structural; Villalobos; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology; thema EDItEUR::J Society and Social Sciences::JP Politics and government; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCA Economic theory and philosophy; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCF Labour / income economics
            DOI
            10.3726/978-3-653-01949-0
            ISBN
            9783653019490
            Publisher
            Peter Lang International Academic Publishing Group
            Publication date and place
            Bern, 2013-11-05
            Series
            Goettinger Studien zur Entwicklungsoekonomik / Goettingen Studies in Development Economics,
            Pages
            172
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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