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This paper analyzes the extent of income inequality from a global perspective, its drivers, and what to do about it. The drivers of inequality vary widely amongst countries, with some common drivers being the skill premium associated with technical change and globalization, weakening protection for labor, and lack of financial inclusion in developing countries. We find that increasing the income share of the poor and the middle class actually increases growth while a rising income share of the top 20 percent results in lower growth—that is, when the rich get richer, benefits do not trickle down. This suggests that policies need to be country specific but should focus on raising the income share of the poor, and ensuring there is no hollowing out of the middle class. To tackle inequality, financial inclusion is imperative in emerging and developing countries while in advanced economies, policies should focus on raising human capital and skills and making tax systems more progressive.
This book focuses on the role of growth and employment/unemployment developments in explaining recent income inequality trends in Brazil, China, India and South Africa, and discusses the roles played by labour market and social policies in both shaping and addressing these inequalities.
This book is open access under a CC BY 4.0 license. This book brings together a range of ideas and theories to arrive at a deeper understanding of inequality in Latin America and its complex realities. To so, it addresses questions such as: What are the origins of inequality in Latin America? How can we create societies that are more equal in terms of income distribution, gender equality and opportunities? How can we remedy the social divide that is making Latin America one of the most unequal regions on earth? What are the roles played by market forces, institutions and ideology in terms of inequality? In this book, a group of global experts gathered by the Institute for the Integration of Latin America and the Caribbean (INTAL), part of the Inter-American Development Bank (IDB), show readers how various types of inequality, such as economical, educational, racial and gender inequality have been practiced in countries like Brazil, Bolivia, Chile, Mexico and many others through the centuries. Presenting new ideas, new evidence, and new methods, the book subsequently analyzes how to move forward with second-generation reforms that lay the foundations for more egalitarian societies. As such, it offers a valuable and insightful guide for development economists, historians and Latin American specialists alike, as well as students, educators, policymakers and all citizens with an interest in development, inequality and the Latin American region.
What makes Brazil so unequal? This title looks at this question and shows how inequalities weaken Brazil's economic development and what are the best policy options to reduce this inequity.
Eight papers, both theoretical and applied, on the concept of equality of opportunity which says that a society should guarantee its members equal access to advantage regardless of their circumstances, while holding them responsible for turning that access into actual advantage by the application of effort.
This book presents multidisciplinary analyses of the historical trajectories of social and economic inequalities in Brazil over the last 50 years. As one of the most unequal countries in the world, Brazil has always been an important case study for scholars interested in inequality research, but in the last few decades has brought a new phenomenon to renew researchers’ interest in the country. While the majority of democracies in the developed world have witnessed an increase in income inequality from the 1970s on, Brazil has followed the opposite path, registering a significant reduction of income inequality over the last 30 years. Bringing together studies carried out by experts from different areas, such as economists, sociologists, demographers and political scientists, this volume presents insights based on rigorous analyses of statistical data in an effort to explain the long term changes in social and economic inequalities in Brazil. The book adopts a multidisciplinary approach, analyzing the relations between income inequality and different dimensions of social life, such as education, health, political participation, public policies, demographics and labor market. All of this makes Paths of Inequality in Brazil – A Half-Century of Change a very valuable resource for social scientists interested in inequality research in general, and especially for sociologists, political scientists and economists interested in the social and economic changes that Brazil went through over the last two decades.
Inequality has emerged as a key development challenge. It holds implications for economic growth and redistribution and translates into power asymmetries that can endanger human rights, create conflict, and embed social exclusion and chronic poverty. For these reasons, it underpins intense public and academic debates and has become a dominant policy concern within many countries and in all multilateral agencies. It is at the core of the 17 goals of the UN 2030 Agenda for Sustainable Development. This book contributes to this important discussion by presenting assessments of the measurement and analysis of global inequality by leading inequality scholars, aligning these to comprehensive reviews of inequality trends in five of the world's largest developing countries - Brazil, China, India, Mexico, and South Africa.
Econometric analyses of treatment response commonly use instrumental variable (IV) assumptions to identify treatment effects. Yet the credibility of IV assumptions is often a matter of considerable disagreement, with much debate about whether some covariate is or is not a "valid instrument" in an application of interest. There is therefore good reason to consider weaker but more credible assumptions. assumptions. To this end, we introduce monotone instrumental variable (MIV) A particularly interesting special case of an MIV assumption is monotone treatment selection (MTS). IV and MIV assumptions may be imposed alone or in combination with other assumptions. We study the identifying power of MIV assumptions in three informational settings: MIV alone; MIV combined with the classical linear response assumption; MIV combined with the monotone treatment response (MTR) assumption. We apply the results to the problem of inference on the returns to schooling. We analyze wage data reported by white male respondents to the National Longitudinal Survey of Youth (NLSY) and use the respondent's AFQT score as an MIV. We find that this MIV assumption has little identifying power when imposed alone. However combining the MIV assumption with the MTR and MTS assumptions yields fairly tight bounds on two distinct measures of the returns to schooling.
"Data prepared by the Sao Paulo-based Fundacao Sistema Estadual de Analise de Dados (SEADE) in collaboration with UN-HABITAT"--T.p. verso.
The recovery after the COVID-19 crisis requires policies and reforms that tackle inequalities and promote equal opportunities. However, the implementation of such reforms requires widespread support from the public. To better understand what factors drive public support, this report provides a detailed cross-country analysis of people’s perceptions of and concern over inequality.