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Lower and upper bound estimates of inequality of opportunity for emerging economies

[journal article]

Hufe, Paul
Peichl, Andreas
Weishaar, Daniel

Abstract

Equality of opportunity is an important normative ideal of distributive justice. In spite of its wide acceptance and economic relevance, standard estimation approaches suffer from data limitations that can lead to both downward and upward biased estimates of inequality of opportunity. These shortcom... view more

Equality of opportunity is an important normative ideal of distributive justice. In spite of its wide acceptance and economic relevance, standard estimation approaches suffer from data limitations that can lead to both downward and upward biased estimates of inequality of opportunity. These shortcomings may be particularly pronounced for emerging economies in which comprehensive household survey data of sufficient sample size is often unavailable. In this paper, we assess the extent of upward and downward bias in inequality of opportunity estimates for a set of twelve emerging economies. Our findings suggest strongly downward biased estimates of inequality of opportunity in these countries. To the contrary, there is little scope for upward bias. By bounding inequality of opportunity from above, we address recent critiques that worry about the prevalence of downward biased estimates and the ensuing possibility to downplay the normative significance of inequality.... view less

Keywords
equal opportunity; social opportunity; inequality; national economy; private household; sample

Classification
General Sociology, Basic Research, General Concepts and History of Sociology, Sociological Theories

Free Keywords
EU-SILC

Document language
English

Publication Year
2022

Page/Pages
p. 395-427

Journal
Social Choice and Welfare, 58 (2022) 3

DOI
https://doi.org/10.1007/s00355-021-01362-7

ISSN
1432-217X

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.