Author
Guido Erreygers
Other affiliations: University of Melbourne
Bio: Guido Erreygers is an academic researcher from University of Antwerp. The author has contributed to research in topics: Basic income & Inequality. The author has an hindex of 18, co-authored 88 publications receiving 1916 citations. Previous affiliations of Guido Erreygers include University of Melbourne.
Papers published on a yearly basis
Papers
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TL;DR: A corrected version of the Concentration Index is proposed which is superior to the original concentration index and its variants, in the sense that it is a rank-dependent indicator which satisfies four key requirements (transfer, level independence, cardinal invariance, and mirror).
582 citations
TL;DR: In this article, the authors investigated the role of information and communication technology (ICT) on income inequality through financial development dynamics of depth (money supply and liquid liabilities), efficiency (at banking and financial system levels), activity (from banking and finance system perspectives) and size, in 48 African countries for the period 1996 to 2014.
447 citations
TL;DR: A 'matrix' is provided that provides guidelines on the usefulness of several rank-dependent inequality indices under varying circumstances and lifts the curtain on the confusing debate between adherents of absolute versus relative health differences.
196 citations
TL;DR: In this paper, the authors reply to Adam Wagstaff's criticism of my corrected version of the Concentration Index for bounded health variables, and show that his criticism is unfounded, and that his index is not superior to mine.
117 citations
TL;DR: It is shown that it is possible to find indicators which simultaneously measure attainment and shortfall inequality, and one indicator belonging to the Gini family, and another belonging to Coefficient of Variation family are derived.
63 citations
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01 Jan 2002
TL;DR: This article investigated whether income inequality affects subsequent growth in a cross-country sample for 1965-90, using the models of Barro (1997), Bleaney and Nishiyama (2002) and Sachs and Warner (1997) with negative results.
Abstract: We investigate whether income inequality affects subsequent growth in a cross-country sample for 1965-90, using the models of Barro (1997), Bleaney and Nishiyama (2002) and Sachs and Warner (1997), with negative results. We then investigate the evolution of income inequality over the same period and its correlation with growth. The dominating feature is inequality convergence across countries. This convergence has been significantly faster amongst developed countries. Growth does not appear to influence the evolution of inequality over time. Outline
3,770 citations
Posted Content•
TL;DR: In this paper, the authors provide a step-by-step practical guide to the measurement of a variety of aspects of health equity, including gaps in health outcomes between the poor and the better-off in specific countries or in the developing world as a whole.
Abstract: This book shows how to implement a variety of analytic tools that allow health equity - along different dimensions and in different spheres - to be quantified. Questions that the techniques can help provide answers for include the following: Have gaps in health outcomes between the poor and the better-off grown in specific countries or in the developing world as a whole? Are they larger in one country than in another? Are health sector subsidies more equally distributed in some countries than in others? Is health care utilization equitably distributed in the sense that people in equal need receive similar amounts of health care irrespective of their income? Are health care payments more progressive in one health care financing system than in another? What are catastrophic payments? How can they be measured? How far do health care payments impoverish households? This volume has a simple aim: to provide researchers and analysts with a step-by-step practical guide to the measurement of a variety of aspects of health equity. Each chapter includes worked examples and computer code. The authors hope that these guides, and the easy-to-implement computer routines contained in them, will stimulate yet more analysis in the field of health equity, especially in developing countries. They hope this, in turn, will lead to more comprehensive monitoring of trends in health equity, a better understanding of the causes of these inequities, more extensive evaluation of the impacts of development programs on health equity, and more effective policies and programs to reduce inequities in the health sector.
1,301 citations
TL;DR: A corrected version of the Concentration Index is proposed which is superior to the original concentration index and its variants, in the sense that it is a rank-dependent indicator which satisfies four key requirements (transfer, level independence, cardinal invariance, and mirror).
582 citations
01 Jan 2013
TL;DR: In this article, the origins of inequality and the great escape health wealth and the origin of inequality that has actually been composed by one of the best seller book in the world is certified.
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426 citations