Chapter 11: Economic and Social Inequality
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John F. Helliwell, Richard Layard and Jeffrey D. Sachs
2018 World Happiness Report John F. Helliwell, Richard Layard and Jeffrey D. Sachs Table of Contents World Happiness Report 2018 Editors: John F. Helliwell, Richard Layard, and Jeffrey D. Sachs Associate Editors: Jan-Emmanuel De Neve, Haifang Huang and Shun Wang 1 Happiness and Migration: An Overview . 3 John F. Helliwell, Richard Layard and Jeffrey D. Sachs 2 International Migration and World Happiness . 13 John F. Helliwell, Haifang Huang, Shun Wang and Hugh Shiplett 3 Do International Migrants Increase Their Happiness and That of Their Families by Migrating? . 45 Martijn Hendriks, Martijn J. Burger, Julie Ray and Neli Esipova 4 Rural-Urban Migration and Happiness in China . 67 John Knight and Ramani Gunatilaka 5 Happiness and International Migration in Latin America . 89 Carol Graham and Milena Nikolova 6 Happiness in Latin America Has Social Foundations . 115 Mariano Rojas 7 America’s Health Crisis and the Easterlin Paradox . 146 Jeffrey D. Sachs Annex: Migrant Acceptance Index: Do Migrants Have Better Lives in Countries That Accept Them? . 160 Neli Esipova, Julie Ray, John Fleming and Anita Pugliese The World Happiness Report was written by a group of independent experts acting in their personal capacities. Any views expressed in this report do not necessarily reflect the views of any organization, agency or programme of the United Nations. 2 Chapter 1 3 Happiness and Migration: An Overview John F. Helliwell, Vancouver School of Economics at the University of British Columbia, and Canadian Institute for Advanced Research Richard Layard, Wellbeing Programme, Centre for Economic Performance, at the London School of Economics and Political Science Jeffrey D. -
Burkina Faso: Priorities for Poverty Reduction and Shared Prosperity
Public Disclosure Authorized BURKINA FASO: PRIORITIES FOR POVERTY REDUCTION AND SHARED PROSPERITY Public Disclosure Authorized SYSTEMATIC COUNTRY DIAGNOSTIC Final Version Public Disclosure Authorized March 2017 Public Disclosure Authorized Abbreviations and Acronyms ACE Aiding Communication in Education ARCEP Regulatory Agency BCEAO Banque Centrale des Etats de l’Afrique de l’Ouest CAMEG Centrale d’Achats des Medicaments Generiques CAPES Centre d’Analyses des Politiques Economiques et Sociales CDP President political party CFA Communauté Financière Africaine CMDT La Compagnie Malienne pour le Développement du Textile CPF Country Partnership Framework CPI Consumer Price Index CPIA Country Policy and Institutional Assessment DHS Demographic and Health Surveys ECOWAS Economic Community of West African States EICVM Enquête Intégrale sur les conditions de vie des ménages EMC Enquête Multisectorielle Continue EMTR Effective Marginal Tax Rate EU European Union FAO Food and Agriculture Organization FDI Foreign Direct Investment FSR-B Fonds Special Routier du Burkina GDP Gross Domestic Product GNI Gross National Income GSMA Global System Mobile Association ICT Information-Communication Technology IDA International Development AssociationINTERNATIONAL IFC International Finance Corporation IMF International Monetary Fund INSD Institut National de la Statistique et de la Démographie IRS Institutional Readiness Score ISIC International Student Identity Card ISPP Institut Supérieur Privé Polytechnique MDG Millennium Development Goals MEF Ministry of -
Corrado GINI B. 23 May 1884 - D
Corrado GINI b. 23 May 1884 - d. 13 March 1965 Summary. From a strictly statistical point of view, Gini’s contributions per- tain mainly to mean values and variability and association between statistical variates, with original contributions also to economics, sociology, demogra- phy and biology. The historical context of his life and his personality helped make him the doyen of Italian statistics. Corrado Gini was born in Motta di Livenza (in the Province of Treviso in the North East of Italy. He was the son of rich landowners. He died in Rome in 1965. In 1905 he graduated in law from the University of Bologna. His degree thesis Il sesso dal punto di vista statistico (Gender from a Statistical Point of View), which was published in 1908, soon showed that his interests were not of a juridical nature even if “his study of the law, however, gave him a taste and a capacity for subtle arguments tending to submit the facts to logic and so to organise and dominate them” [3, p.3]. During university he attended additionally some mathematics and biology courses. His university career advanced rapidly. In fact in 1909 he was already temporary professor of Statistics at the University of Cagliari and in 1910, at only 26, he acceded to the Chair of Statistics at the same University. In 1913 he moved to the University of Padua and from 1927 he held the Chair of Statistics at the University of Rome. Between 1926 and 1932 he was President of the Central Institute of Statis- tics (ISTAT) and during this period he organised and co-ordinated the na- tional statistical services, bringing them to a good and efficient technical level despite various difficulties. -
The Lorenz Curve
Charting Income Inequality The Lorenz Curve Resources for policy making Module 000 Charting Income Inequality The Lorenz Curve Resources for policy making Charting Income Inequality The Lorenz Curve by Lorenzo Giovanni Bellù, Agricultural Policy Support Service, Policy Assistance Division, FAO, Rome, Italy Paolo Liberati, University of Urbino, "Carlo Bo", Institute of Economics, Urbino, Italy for the Food and Agriculture Organization of the United Nations, FAO About EASYPol The EASYPol home page is available at: www.fao.org/easypol EASYPol is a multilingual repository of freely downloadable resources for policy making in agriculture, rural development and food security. The resources are the results of research and field work by policy experts at FAO. The site is maintained by FAO’s Policy Assistance Support Service, Policy and Programme Development Support Division, FAO. This modules is part of the resource package Analysis and monitoring of socio-economic impacts of policies. The designations employed and the presentation of the material in this information product do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. © FAO November 2005: All rights reserved. Reproduction and dissemination of material contained on FAO's Web site for educational or other non-commercial purposes are authorized without any prior written permission from the copyright holders provided the source is fully acknowledged. Reproduction of material for resale or other commercial purposes is prohibited without the written permission of the copyright holders. -
Multidimensional Poverty in Seychelles Christophe Muller, Asha Kannan, Roland Alcindor
Multidimensional Poverty in Seychelles Christophe Muller, Asha Kannan, Roland Alcindor To cite this version: Christophe Muller, Asha Kannan, Roland Alcindor. Multidimensional Poverty in Seychelles. 2016. halshs-01264444 HAL Id: halshs-01264444 https://halshs.archives-ouvertes.fr/halshs-01264444 Preprint submitted on 29 Jan 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Working Papers / Documents de travail Multidimensional Poverty in Seychelles Christophe Muller Asha Kannan Roland Alcindor WP 2016 - Nr 01 Multidimensional Poverty in Seychelles Christophe Muller*, Asha Kannan**and Roland Alcindor** January 2016 Abstract: The typically used multidimensional poverty indicators in the literature do not appear to be relevant for middle-income countries like Seychelles and can yield unrealistic estimates of poverty. In particular, the deprivations typically considered in such measures little occurs in middle-income economies. In this paper, we propose a new approach to measuring multidimensional poverty in Seychelles based on a mix of objective and subjective information about households living conditions, and on how these households view their spending priorities. The empirical results based on our new approach show that a small but non-negligible minority of Seychellois can be considered as multidimensionally poor, mostly as not being able to satisfy their shelter and food basic needs. -
Racial Economic Inequality Amid the COVID-19 Crisis
ESSAY 2020-17 | AUGUST 2020 Racial Economic Inequality Amid the COVID-19 Crisis Bradley L. Hardy and Trevon D. Logan i The Hamilton Project • Brookings MISSION STATEMENT The Hamilton Project seeks to advance America’s promise of opportunity, prosperity, and growth. The Project’s economic strategy reflects a judgment that long-term prosperity is best achieved by fostering economic growth and broad participation in that growth, by enhancing individual economic security, and by embracing a role for effective government in making needed public investments. We believe that today’s increasingly competitive global economy requires public policy ideas commensurate with the challenges of the 21st century. Our strategy calls for combining increased public investments in key growth-enhancing areas, a secure social safety net, and fiscal discipline. In that framework, the Project puts forward innovative proposals from leading economic thinkers — based on credible evidence and experience, not ideology or doctrine — to introduce new and effective policy options into the national debate. The Project is named after Alexander Hamilton, the nation’s first treasury secretary, who laid the foundation for the modern American economy. Consistent with the guiding principles of the Project, Hamilton stood for sound fiscal policy, believed that broad-based opportunity for advancement would drive American economic growth, and recognized that “prudent aids and encouragements on the part of government” are necessary to enhance and guide market forces. ii The Hamilton Project • Brookings Racial Economic Inequality Amid the COVID-19 Crisis Bradley L. Hardy American University Trevon D. Logan The Ohio State University AUGUST 2020 This policy essay is an essay from the author(s). -
Inequality Measurement Development Issues No
Development Strategy and Policy Analysis Unit w Development Policy and Analysis Division Department of Economic and Social Affairs Inequality Measurement Development Issues No. 2 21 October 2015 Comprehending the impact of policy changes on the distribu- tion of income first requires a good portrayal of that distribution. Summary There are various ways to accomplish this, including graphical and mathematical approaches that range from simplistic to more There are many measures of inequality that, when intricate methods. All of these can be used to provide a complete combined, provide nuance and depth to our understanding picture of the concentration of income, to compare and rank of how income is distributed. Choosing which measure to different income distributions, and to examine the implications use requires understanding the strengths and weaknesses of alternative policy options. of each, and how they can complement each other to An inequality measure is often a function that ascribes a value provide a complete picture. to a specific distribution of income in a way that allows direct and objective comparisons across different distributions. To do this, inequality measures should have certain properties and behave in a certain way given certain events. For example, moving $1 from the ratio of the area between the two curves (Lorenz curve and a richer person to a poorer person should lead to a lower level of 45-degree line) to the area beneath the 45-degree line. In the inequality. No single measure can satisfy all properties though, so figure above, it is equal to A/(A+B). A higher Gini coefficient the choice of one measure over others involves trade-offs. -
Emerging Challenges to Long-Term Peace and Security in Mozambique
The Journal of Social Encounters Volume 1 Issue 1 Article 6 2017 Emerging Challenges to Long-term Peace and Security in Mozambique Ayokunu Adedokun United Nations University (UNU-MERIT) and Maastricht University Graduate School of Governance, in the Netherlands Follow this and additional works at: https://digitalcommons.csbsju.edu/social_encounters Part of the African American Studies Commons, African Languages and Societies Commons, International Relations Commons, and the Religion Commons Recommended Citation Adedokun, Ayokunu (2017) "Emerging Challenges to Long-term Peace and Security in Mozambique," The Journal of Social Encounters: Vol. 1: Iss. 1, 37-53. Available at: https://digitalcommons.csbsju.edu/social_encounters/vol1/iss1/6 This Essay is brought to you for free and open access by DigitalCommons@CSB/SJU. It has been accepted for inclusion in The Journal of Social Encounters by an authorized editor of DigitalCommons@CSB/SJU. For more information, please contact [email protected]. The Journal of Social Encounters Emerging Challenges to Long-term Peace and Security in Mozambique Ayokunu Adedokun, Ph.D1. Maastricht University Graduate School of Governance (MGSoG) & UNU-MERIT, Netherlands. Mozambique’s transition from civil war to peace is often considered among the most successful implementations of a peace agreement in the post-Cold War era. Following the signing of the 1992 Rome General Peace Accords (GPA), the country has not experienced any large-scale recurrence of war. Instead, Mozambique has made impressive progress in economic growth, poverty reduction, improved security, regional cooperation and post-war democratisation. Mozambique has also made significant strides in the provision of primary healthcare, and steady progress towards achieving the Millennium Development Goals. -
Corrado Gini: Professor of Statistics in Padua, 1913Ð19251
Statistica Applicata - Italian Journal of Applied Statistics Vol. 28 (2-3) 115 CORRADO GINI: PROFESSOR OF STATISTICS IN PADUA, 1913–19251 Silio Rigatti Luchini University of Padua, Italy2 Abstract This paper is concerned with the period 1913-1925 during which Corrado Gini was a professor of Statistics at the University of Padua. We describe the situation of statistics in the Italian academia before his enrolment at the Faculty of Law and then his activities in this faculty first as an adjunct professor and then of full professor of statistics. He founded a laboratory of statistics, similar to that he established at the University of Cagliari, and in 1924 the first Italian institute of statistics, in which students could gain a degree in statistics. He was very active in statistical research so that most of the innovation he introduced in statistics was already published before the Great War. During the war, he was first a soldier of the Italian army and then he collaborated with the national government in conducting many important surveys at national level. In 1920 he founded also the international journal Metron. In 1925 he moved from the University of Padua to that of Rome. Keywords: Corrado Gini; University of Padua, Institute of Statistics; Metron. 1. INTRODUCTION Corrado Gini was born on 23 May 1884 in Motta di Livenza, Treviso Province, to Lavinia Locatelli and Luciano Gini, a couple who belonged to the upper-middle agrarian class. He died in Rome on 13 March 1965. After graduating with a law degree from the University of Bologna in 1905, he advanced rapidly in his academic career. -
Bosnia-Herzegovina Economy Briefing: Report: Keeping up with the Reform Agenda in 2019 Ivica Bakota
ISSN: 2560-1601 Vol. 14, No. 2 (BH) January 2019 Bosnia-Herzegovina economy briefing: Report: Keeping up with the Reform Agenda in 2019 Ivica Bakota 1052 Budapest Petőfi Sándor utca 11. +36 1 5858 690 Kiadó: Kína-KKE Intézet Nonprofit Kft. [email protected] Szerkesztésért felelős személy: Chen Xin Kiadásért felelős személy: Huang Ping china-cee.eu 2017/01 Report: Keeping up with the Reform Agenda in 2019 The second Bosnian four-year plan? In October 2018, German and British embassies organized a meeting with Bosnian economic and political experts, main party economic policy creators, EBRD and the WB representatives away from Bosnian political muddle in Slovenian Brdo kod Kranja to evaluate the success of the Reform Agenda and discuss the possibility of extending reform period or launching the second Reform Agenda. Defining an extension or a new reform agenda which in the next four years should tackle what was not covered in the first Agenda was prioritized on the meeting and is expected to become topical in the first months of the new administration. Regardless of the designed four- year timeframe, the government is expected to continue with enforcing necessary reforms envisioned in the (current) Reform Agenda and, according the official parlance, focuses on tackling those parts that haven’t been gotten straight. To make snap digression, the Reform Agenda was a broad set of social and economic reforms proposed (but poorly supervised) by German and other European ‘partners’ in order to help Bosnia and Herzegovina to exit from transitional limbo and make ‘real’ progress on the EU integrations track. -
SOLVING ONE-VARIABLE INEQUALITIES 9.1.1 and 9.1.2
SOLVING ONE-VARIABLE INEQUALITIES 9.1.1 and 9.1.2 To solve an inequality in one variable, first change it to an equation (a mathematical sentence with an “=” sign) and then solve. Place the solution, called a “boundary point”, on a number line. This point separates the number line into two regions. The boundary point is included in the solution for situations that involve ≥ or ≤, and excluded from situations that involve strictly > or <. On the number line boundary points that are included in the solutions are shown with a solid filled-in circle and excluded solutions are shown with an open circle. Next, choose a number from within each region separated by the boundary point, and check if the number is true or false in the original inequality. If it is true, then every number in that region is a solution to the inequality. If it is false, then no number in that region is a solution to the inequality. For additional information, see the Math Notes boxes in Lessons 9.1.1 and 9.1.3. Example 1 3x − (x + 2) = 0 3x − x − 2 = 0 Solve: 3x – (x + 2) ≥ 0 Change to an equation and solve. 2x = 2 x = 1 Place the solution (boundary point) on the number line. Because x = 1 is also a x solution to the inequality (≥), we use a filled-in dot. Test x = 0 Test x = 3 Test a number on each side of the boundary 3⋅ 0 − 0 + 2 ≥ 0 3⋅ 3 − 3 + 2 ≥ 0 ( ) ( ) point in the original inequality. Highlight −2 ≥ 0 4 ≥ 0 the region containing numbers that make false true the inequality true. -
Causes and Results of Inequitable Distribution of Wealth, Opportunity Or Education
Causes and Results of Inequitable Distribution of Wealth, Opportunity or Education By Claire Pettinger The unequal distribution of wealth is a major problem not only nationwide but worldwide. There are several reasons as to why this is an issue, but the two major ones go hand in hand: lack of resources and the unequal distribution of capitalism. A common misconception is that the main reason for this wealth gap is because the rich are rich, as if they stole the poor’s money. This is not the case. As a product of the inequitable distribution of wealth, opportunities to advance become scarce and the overall standard of living decreases. It is impossible to pin this gap on any one thing, for there are multiple causes that result in this division. However it is safe to say that the outcome of it can be catastrophic. There are several countries that prosper while having little resources. Their key to success is international trade. For example, Japan has very little usable farmland due to its rocky terrain and resources in general, and yet they are thriving. They are able to live in prosperity because of their open, capitalist economy. This prevents their government from interfering in their trade. Other countries such as the Central African Republic (CAR) are rich with resources, but do not have a capitalist economy, so its residents aren’t even allowed the opportunity to grow and thrive as a country. “The CAR’s economic freedom score is 46.7, making its economy the 161st freest in the 2014 Index” (Central).