World Happiness REPORT Edited by John Helliwell, Richard Layard and Jeffrey Sachs World Happiness Report Edited by John Helliwell, Richard Layard and Jeffrey Sachs
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North America Other Continents
Arctic Ocean Europe North Asia America Atlantic Ocean Pacific Ocean Africa Pacific Ocean South Indian America Ocean Oceania Southern Ocean Antarctica LAND & WATER • The surface of the Earth is covered by approximately 71% water and 29% land. • It contains 7 continents and 5 oceans. Land Water EARTH’S HEMISPHERES • The planet Earth can be divided into four different sections or hemispheres. The Equator is an imaginary horizontal line (latitude) that divides the earth into the Northern and Southern hemispheres, while the Prime Meridian is the imaginary vertical line (longitude) that divides the earth into the Eastern and Western hemispheres. • North America, Earth’s 3rd largest continent, includes 23 countries. It contains Bermuda, Canada, Mexico, the United States of America, all Caribbean and Central America countries, as well as Greenland, which is the world’s largest island. North West East LOCATION South • The continent of North America is located in both the Northern and Western hemispheres. It is surrounded by the Arctic Ocean in the north, by the Atlantic Ocean in the east, and by the Pacific Ocean in the west. • It measures 24,256,000 sq. km and takes up a little more than 16% of the land on Earth. North America 16% Other Continents 84% • North America has an approximate population of almost 529 million people, which is about 8% of the World’s total population. 92% 8% North America Other Continents • The Atlantic Ocean is the second largest of Earth’s Oceans. It covers about 15% of the Earth’s total surface area and approximately 21% of its water surface area. -
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. -
Сorrespondence Analysis As a Tool for Computer Modeling of Sustainable Development
ECONOMETRICS. EKONOMETRIA Advances in Applied Data Analysis Year 2018, Vol. 22, No. 4 ISSN 1507-3866; e-ISSN 2449-9994 СORRESPONDENCE ANALYSIS AS A TOOL FOR COMPUTER MODELING OF SUSTAINABLE DEVELOPMENT Kateryna Berezka Ternopil National Economic University, Ternopil, Ukraine e-mail: [email protected] ORCID 0000-0002-9632-4004 Olha Kovalchuk Ternopil National Economic University, Ternopil, Ukraine e-mail: [email protected] ORCID 0000-0001-6490-9633 © 2018 Kateryna Berezka, Olha Kovalchuk This is an open access article distributed under the Creative Commons Attribution-NonCommercial- -NoDerivs license (http://creativecommons.org/licenses/by-nc-nd/3.0/) DOI: 10.15611/eada.2018.4.01 JEL Classification: E01, E27, C15 Abstract: Many of the problems that the world faces today appeared as the result of unstable development. Global climate change, resource depletion, space debris, poverty, inequality, and threats to global security are the main but not the only challenges for modern humanity. The important issue in studying the problems of sustainable development of the countries in the world is the development of strategies that would give an opportunity to avoid environmental and social catastrophes. The correspondence analysis is used to identify the relationship between the Happy Planet Index (which is an aggregate indicator of achievements in the key aspects of human development, such as life duration and quality, distribution uniformity, access to knowledge, and preservation of environment) and Gross National Income (one of the basic metrics of the population welfare level). The analysis led to the conclusion that the income level of the population is not the main factor in assessing the level of sustainable development of a country. -
Large but Finite
Department of Mathematics MathClub@WMU Michigan Epsilon Chapter of Pi Mu Epsilon Large but Finite Drake Olejniczak Department of Mathematics, WMU What is the biggest number you can imagine? Did you think of a million? a billion? a septillion? Perhaps you remembered back to the time you heard the term googol or its show-off of an older brother googolplex. Or maybe you thought of infinity. No. Surely, `infinity' is cheating. Large, finite numbers, truly monstrous numbers, arise in several areas of mathematics as well as in astronomy and computer science. For instance, Euclid defined perfect numbers as positive integers that are equal to the sum of their proper divisors. He is also credited with the discovery of the first four perfect numbers: 6, 28, 496, 8128. It may be surprising to hear that the ninth perfect number already has 37 digits, or that the thirteenth perfect number vastly exceeds the number of particles in the observable universe. However, the sequence of perfect numbers pales in comparison to some other sequences in terms of growth rate. In this talk, we will explore examples of large numbers such as Graham's number, Rayo's number, and the limits of the universe. As well, we will encounter some fast-growing sequences and functions such as the TREE sequence, the busy beaver function, and the Ackermann function. Through this, we will uncover a structure on which to compare these concepts and, hopefully, gain a sense of what it means for a number to be truly large. 4 p.m. Friday October 12 6625 Everett Tower, WMU Main Campus All are welcome! http://www.wmich.edu/mathclub/ Questions? Contact Patrick Bennett ([email protected]) . -
Guide to Ella Fitzgerald Papers
Guide to Ella Fitzgerald Papers NMAH.AC.0584 Reuben Jackson and Wendy Shay 2015 Archives Center, National Museum of American History P.O. Box 37012 Suite 1100, MRC 601 Washington, D.C. 20013-7012 [email protected] http://americanhistory.si.edu/archives Table of Contents Collection Overview ........................................................................................................ 1 Administrative Information .............................................................................................. 1 Arrangement..................................................................................................................... 3 Biographical / Historical.................................................................................................... 2 Scope and Contents........................................................................................................ 3 Names and Subjects ...................................................................................................... 4 Container Listing ............................................................................................................. 5 Series 1: Music Manuscripts and Sheet Music, 1919 - 1973................................... 5 Series 2: Photographs, 1939-1990........................................................................ 21 Series 3: Scripts, 1957-1981.................................................................................. 64 Series 4: Correspondence, 1960-1996................................................................. -
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 -
The Social Progress Index Background and US Implementation
Ideas + Action for a Better City learn more at SPUR.org tweet about this event: @SPUR_Urbanist #SocialProgress The Social Progress Index Background and US Implementation www.socialprogress.org We need a new model “Economic growth alone is not sufficient to advance societies and improve the quality of life of citizens. True success, and Michael E. Porter Harvard Business growth that is inclusive, School and Social requires achieving Progress Imperative both economic and Advisory Board Chair social progress.” 2 Social Progress Index design principles As a complement to economic measures like GDP, SPI answers universally important questions about the success of society that measures of economic progress cannot alone address. 4 2019 Social Progress Index aggregates 50+ social and environmental outcome indicators from 149 countries 5 GDP is not destiny Across the spectrum, we see how some countries are much better at turning their economic growth into social progress than 2019 Social Progress Index Score Index Progress Social 2019 others. GDP PPP per capita (in USD) 6 6 From Index to Action to Impact Delivering local data and insight that is meaningful, relevant and actionable London Borough of Barking & Dagenham ward-level SPI holds US city-level SPIs empower government accountable to ensure mayors, business and civic leaders no one is left behind left behind with new insight to prioritize policies and investments European Union regional SPI provides a roadmap for policymakers to guide €350 billion+ in EU Cohesion Policy spending state and -
The Human Development Index: Measuring the Quality of Life
Student Resource XIV The Human Development Index: Measuring the Quality of Life The ‘Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development’ (UNDP). It is a measure closely related to quality of life, and is used to compare two or more countries. The United Nations developed the HDI based on three main dimensions: long and healthy life, knowledge, and a decent standard of living (see Image below). Figure 1: Indicators of HDI Source: http://hdr.undp.org/en/content/human-development-index-hdi In 2015, the United States ranked 8th among all countries in Human Development, ranking behind countries like Norway, Australia, Switzerland, Denmark, Netherlands, Germany and Ireland (UNDP, 2015). The closer a country is to 1.0 on the HDI index, the better its standing in regards to human development. Maps of HDI ranking reveal regional patterns, such as the low HDI in Sub-Saharan Africa (Figure 2). Figure 2. The United Nations Human Development Index (HDI) rankings for 2014 17 Use Student Resource XIII, Measuring Quality of Life Country Statistics to answer the following questions: 1. Categorize the countries into three groups based on their GNI PPP (US$), which relates to their income. List them here. High Income: Medium Income: Low Income: 2. Is there a relationship between income and any of the other statistics listed in the table, such as access to electricity, undernourishment, or access to physicians (or others)? Describe at least two patterns here. 3. There are several factors we can look at to measure a country's quality of life. -
1 Executive Summary Mauritius Is an Upper Middle-Income Island Nation
Executive Summary Mauritius is an upper middle-income island nation of 1.2 million people and one of the most competitive, stable, and successful economies in Africa, with a Gross Domestic Product (GDP) of USD 11.9 billion and per capita GDP of over USD 9,000. Mauritius’ small land area of only 2,040 square kilometers understates its importance to the Indian Ocean region as it controls an Exclusive Economic Zone of more than 2 million square kilometers, one of the largest in the world. Emerging from the British colonial period in 1968 with a monoculture economy based on sugar production, Mauritius has since successfully diversified its economy into manufacturing and services, with a vibrant export sector focused on textiles, apparel, and jewelry as well as a growing, modern, and well-regulated offshore financial sector. Recently, the government of Mauritius has focused its attention on opportunities in three areas: serving as a platform for investment into Africa, moving the country towards renewable sources of energy, and developing economic activity related to the country’s vast oceanic resources. Mauritius actively seeks investment and seeks to service investment in the region, having signed more than forty Double Taxation Avoidance Agreements and maintaining a legal and regulatory framework that keeps Mauritius highly-ranked on “ease of doing business” and good governance indices. 1. Openness To, and Restrictions Upon, Foreign Investment Attitude Toward FDI Mauritius actively seeks and prides itself on being open to foreign investment. According to the World Bank report “Investing Across Borders,” Mauritius has one of the world’s most open economies to foreign ownership and is one of the highest recipients of FDI per capita. -
ALTERNATIVE INDICATORS of WELL-BEING for MELANESIA Changing the Way Progress Is Measured in the South Pacific
ALTERNATIVE INDICATORS OF WELL-BEING FOR MELANESIA Changing the way progress is measured in the South Pacific A Vanuatu initiative with support from: Page | 1 [ALTERNATIVE INDICATORS OF WELL-BEING FOR MELANESIA ] September 2010 The Republic of Vanuatu has begun the process of testing alternative indicators of well-being which reflect Melanesian values. These specially tailored indicators modify the existing progressive measures accepted internationally by governments and aid agencies in order to better track the factors that contribute to ni-Vanuatu well- being. The indicators focus on factors not currently captured by the Human Development Index or accounted for within the Millennium Development Goals— factors including free access to land and natural resources, community vitality, family relationships, and culture. The almost universal use of GDP-based indicators to measure progress has helped justify policies based on rapid material progress at the expense of more holistic criterion. Because it is a crude measure of only the cash value of activities or production, GDP is heavily biased towards increased production and consumption regardless of the necessity or desirability of such outputs. Policies developed with regard only to increasing per-capita GDP can have negative, and potentially disastrous, impacts on other factors contributing to life quality. The development and use of alternative indicators of well-being is past due. Indicators drive society in certain directions and even determine the policy agendas of governments. Not only decision makers, but ordinary citizens tend to take social or economic programs at face-value and accept proposed policy implementation without examining the ultimate values underlying those programs. -
Racial Bias in Bail Decisions∗
RACIAL BIAS IN BAIL DECISIONS∗ David Arnold Will Dobbie Crystal S. Yang May 2018 Abstract This paper develops a new test for identifying racial bias in the context of bail decisions—a high-stakes setting with large disparities between white and black defendants. We motivate our analysis using Becker’s model of racial bias, which predicts that rates of pretrial misconduct will be identical for marginal white and marginal black defendants if bail judges are racially unbiased. In contrast, marginal white defendants will have higher rates of misconduct than marginal black defendants if bail judges are racially biased, whether that bias is driven by racial animus, inaccurate racial stereotypes, or any other form of bias. To test the model, we use the release tendencies of quasi-randomly assigned bail judges to identify the relevant race-specific misconduct rates. Estimates from Miami and Philadelphia show that bail judges are racially biased against black defendants, with substantially more racial bias among both inexperienced and part-time judges. We find suggestive evidence that this racial bias is driven by bail judges relying on inaccurate stereotypes that exaggerate the relative danger of releasing black defendants. JEL Codes: C26, J15. ∗We gratefully acknowledge the coeditors Lawrence Katz and Andrei Shleifer, and five anonymous referees for many valuable insights and suggestions. We also thank Josh Angrist, David Autor, Pedro Bordalo, Leah Platt Boustan, David Deming, Hanming Fang, Hank Farber, Roland Fryer, Jonah Gelbach, Nicola Gennaioli, Edward Glaeser, Paul Goldsmith-Pinkham, Christine Jolls, Louis Kaplow, Michal Kolesár, Amanda Kowalski, Ilyana Kuziemko, Magne Mogstad, Nicola Persico, Steven Shavell, David Silver, Alex Torgovitsky, and numerous seminar participants for helpful comments and suggestions. -
Nber Working Paper Series Leaving Boys Behind
NBER WORKING PAPER SERIES LEAVING BOYS BEHIND: GENDER DISPARITIES IN HIGH ACADEMIC ACHIEVEMENT Nicole M. Fortin Philip Oreopoulos Shelley Phipps Working Paper 19331 http://www.nber.org/papers/w19331 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 August 2013 We would like to acknowledge Lori Timmins for her outstanding research assistance on this project. We would also like to thank Jerome Adda, Joseph Altonji, Marianne Bertrand, Russell Cooper, David Card, Steve Durlauf, Christian Dustmann, Andrea Ichino, Claudia Goldin, Larry Katz, John Kennan, Magne Mogstad, Mario Small, Uta Schonberg, Chris Taber, Thomas Lemieux, Glen Waddell, Ian Walker, Basif Zafar, and seminar participants at Bocconi University, Einaudi Institute for Economics and Finance, European University Institute, Federal Reserve Bank of New York, Harvard University, Norwegian School of Business and Economics, Paris I, Sciences Po, University College London, University of Oregon, University of Wisconsin-Madison, Yale University, the CEA 2011, the CIFAR SIIWB Workshop, the NBER Summer Institute 2013, and SOLE 2012 for helpful comments on this and earlier versions of the manuscript. We thank ICPSR and MTF for allowing us to use the data, and the usual disclaimer applies. The authors are grateful for CIFAR’s financial support. Fortin also acknowledges funding from SSHRC Grants #410-2011-0567. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer- reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.