Journal ArticleDOI
Trends in Inequality of Opportunity for Developing Countries: Does the Economic Indicator Matter?
TLDR
In this article, the authors analyzed the impact of inequality of opportunity on economic inequality in six countries: Brazil, Egypt, Guatemala, India, Peru and South Africa and the periods of time covered vary from 2004 to 2014.Abstract:
The aim of this paper is to shed some light on the behaviour of Inequality of Opportunity (IOp henceforth) in developing countries. The analysis is carried out using microdata collected by national surveys and harmonised by the Luxembourg Income Study (LIS). The LIS database incorporates a wide variety of personal harmonised variables, which allow us to made cross-country comparisons for developing countries. More specifically, we analyse six countries: Brazil, Egypt, Guatemala, India, Peru and South Africa and the periods of time covered vary from 2004 to 2014. In order to analyse the impact of inequality of opportunity we compute relative indicators by comparing IOp with economic inequality for each country analysed. Moreover, to check the robustness of our results we include two sensitivity analyses: first, we test the significance of overtime changes using inferential procedures and second, we assess if different economic indicators lead to different conclusions both in the evolution of IOp and overall inequality and in the relative weights of the circumstances that conform IOp. More specifically, regarding the first aim we focus on the disposable equivalised income to measure IOp and Income Inequality and we test if overtime changes are statistically significant using bootstrapping procedures. With regard to the second objective, to test the robustness of the results we compute IOp and Inequality for four different economic aggregates: Personal Income, Labour Personal Income, Consumption and Monetary Consumption. The empirical results of these analyses lead to two interesting conclusions: most of the overtime changes are found to be statistically significant and the use of a specific economic indicator is not as important as it at first seems, leading in most cases to the same conclusions.read more
Citations
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Journal ArticleDOI
Is COVID-19 vaccine inequality undermining the recovery from the COVID-19 pandemic?
TL;DR: Analysis of the relationship between the vaccination rate, the GDP growth, and the incidence of the coronavirus disease shows that the situation is more challenging in less developed countries, especially African countries, due to weak health systems and low rates of vaccination.
Journal ArticleDOI
Income inequality, economic growth, and structural changes in Egypt: new insights from quantile cointegration approach
Book ChapterDOI
Inequality of Opportunity: Theoretical Considerations and Recent Empirical Evidence
TL;DR: In this paper , the normative foundation of the theory of (in)equality of opportunity, the different declinations of the principle of equality of opportunity proposed by the literature and its mathematical construct, and the most recent empirical findings on the measurement of inequality of opportunity in both the monetary and non-monetary spaces are discussed.
Journal ArticleDOI
The Outcomes of Organizational Fairness among Precarious Workers: The Critical Role of Anomie at the Work
TL;DR: In this paper , the authors investigated the influence of organizational fairness on the emotional exhaustion and leave intentions of Peruvian precarious workers and found that treating precarious workers fairly reduced their emotional exhaustion, and that anomie at work mediated the relationship between organizational fairness and emotional exhaustion.
References
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Book ChapterDOI
Income Inequality and Inequality of Opportunity in Europe: Are they on the Rise?
TL;DR: In this article, the behavior of income inequality and inequality of opportunity over time for 26 European countries was analyzed using microdata collected by the European Union Statistics on Income and Living Conditions (EU-SILC), which incorporates a wide variety of personal harmonized variables, allowing comparability between countries.