Lower and upper bound estimates of inequality of opportunity for emerging economies
Bibliographic Data
| ID | 21470373 |
|---|---|
| Authors | Paul Hufe (0000-0002-2264-761X, University of Bristol), Andreas Peichl (0000-0002-0680-8321, Ifo Institute for Economic Research, corresponding author), Daniel Weishaar (0009-0009-7816-6725, LMU Klinikum) |
| Year | 2022 |
| Volume | 58 |
| Issue | 3 |
| Pages | 395-427 |
| Publication date | 2022-04-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Choice and Welfare (JOURNAL) |
| Journal identifiers | ISSN: 0176-1714 • E-ISSN: 1432-217X |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s00355-021-01362-7 |
| OpenAlex | W3199378690 |
| Language | EN |
| Citations received | 6 |
| References cited | 39 |
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
Bounding overwatch · Economic inequality · Economics · Emerging markets · Geography · Inequality · Macroeconomics · Normative · Political science · Agricultural risk and resilience · Income, Poverty, and Inequality · Intergenerational and Educational Inequality Studies
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| Citations per year | 2 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |