Purchasing Power Parity Measures: Advantages and Limitations by Samuel Moon, Sheila Page, Barry Rodin and Donald Roy
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The Decline of Neoliberalism: a Play in Three Acts* O Declínio Do Neoliberalismo: Uma Peça Em Três Atos
Brazilian Journal of Political Economy, vol. 40, nº 4, pp. 587-603, October-December/2020 The decline of neoliberalism: a play in three acts* O declínio do neoliberalismo: uma peça em três atos FERNANDO RUGITSKY**,*** RESUMO: O objetivo deste artigo é examinar as consequências políticas e econômicas da pandemia causada pelo novo coronavírus, colocando-a no contexto de um interregno gram sciano. Primeiro, o desmonte da articulação triangular do mercado mundial que ca- racterizou a década anterior a 2008 é examinado. Segundo, a onda global de protestos e os deslocamentos eleitorais observados desde 2010 são interpretados como evidências de uma crise da hegemonia neoliberal. Juntas, as crises econômica e hegemônica representam o interregno. Por fim, argumenta-se que o combate à pandemia pode levar à superação do neoliberalismo. PALAVRAS-CHAVE: Crise econômica; hegemonia neoliberal; interregno; pandemia. ABSTRACT: This paper aims to examine the political and economic consequences of the pandemic caused by the new coronavirus, setting it in the context of a Gramscian interregnum. First, the dismantling of the triangular articulation of the world market that characterized the decade before 2008 is examined. Second, the global protest wave and the electoral shifts observed since 2010 are interpreted as evidence of a crisis of neoliberal hegemony. Together, the economic and hegemonic crises represent the interregnum. Last, it is argued that the fight against the pandemic may lead to the overcoming of neoliberalism. KEYWORDS: Economic crisis; neoliberal hegemony; interregnum; pandemic. JEL Classification: B51; E02; O57. * A previous version of this paper was published, in Portuguese, in the 1st edition (2nd series) of Revista Rosa. -
What's Driving Food Prices in 2011?
What’s Driving Food Prices in 2011? .YP] Preface ree years ago Farm Foundation, NFP asked Purdue University economists Wallace Tyner, Philip Abbot and Christopher Hurt to review the literature and provide a comprehensive assessment of the major factors driving commodity and food prices. Our objective was to cool the heated rhetoric in the food-versus-fuel debate, which had been rising right along with the prices of corn and oil. Today, although the rhetoric seems to be lower, prices of oil and commodities, including corn, soybeans and wheat, have again approached the levels of 2008. In addition, policy makers today are focused on a national debate over fiscal policy—a debate that encompasses the future direction of food, agricultural and energy policies. Farm Foundation commissioned the current paper to provide a comprehensive, objective assessment of the forces driving commodity and food prices. A major question was whether the forces at work today are the same as or different from those of 2008. Our goal is to provide public and private decision makers with an objective assessment of the forces driving commodity prices, as well as offer some insights into the impacts on policy options. Now, as in 2008, the full story behind rapid increases in commodity prices is not a simple one. Many of the factors driving prices remain the same but play out in different ways—including biofuel demands, exchange rates and weather. As concluded in 2008, one simple fact stands out: economic growth and rising human aspirations are putting ever greater pressure on the global resource base. -
AVAILABLE from a Price Index for Deflation of Academic R&D
DOCUMENT RESUME ED 067 986 HE 003 406 TITLE A Price Index for Deflation of Academic R&D Expenditures. INSTITUTION National Science Foundation, Washington, D.C. REPORT NO NSF-72-310 PUB DATE 72 NOTE 38p. AVAILABLE FROMSuperintendent of Documents, U.S. Government Printing- Office, Washington, D.C. 20402 ($.25, 3800-00122) EDRS PRICE MF-$0.65 HC-$3.29 DESCRIPTORS Costs; Educational Finance; *Educational Research; Financial Problems; *Financial Support; *Higher Education; Research; Research and Development Centers; *Scientific Research; *Statistical Data ABSTRACT This study relates to price trends affecting research and development (R&D) activities at academic institutions. Part I of this report provides the overall results of the study with limited discussion of measurement concepts, methodology and limitations. Part II deals with price indexes and deflation-general concepts and methodology. Part III discusses methodology and data base and Part IV describes alternative computations and approaches. Statistical tables and charts are included.(Author/CS) cO Cr` CD :w U S DEPARTMENT OF HEALTH EDUCATION & WELFARE OFFICE OF EDUCATION THIS DOCUMENT HASBEEN REPRO DUCED EXACTLY ASRECEIVED FROM THE PERSON OR ORGANIZATION ORIG INATING IT POINTS OFVIEW OR OPIN IONS STATED DONOT NECESSARILY REPRESENT OFFICIALOFFICE OF EDU CATION POSITION OR POLICY RELATED PUBLICATIONS Title Number Price National Patterns of R&D Resources: Funds and Manpower in the United States, 1953-72 72-300 $0.50 Resources for Scientific Activities at Universi- ties and Colleges, 1971 72-315 In press Availability of Publications Those publications marked with a price should be obtained directly from the Superintendent of Documents, U.S. Government Printing Office, Washington, D.C. -
Food Price Variation
2019 Food Price Variation The USDA estimates that 40 million people, including more than 12 million children, in the United States are food insecure as of 2017. This means that 1 in 8 individuals (13%) and 1 in 6 children (17%) live in households without 40 million consistent access to adequate food. The experience of food insecurity -or- depends on individual circumstances, local economies, and broader social and economic forces. Food prices in particular represent an important component of cost-of-living that affects households’ ability to afford food. 1/8 In fact, the high relative price of food contributed to the persistently high people are food insecure. rate of national food insecurity in the years following the Great Recession.1 Food prices began edging upward again in 2017 and 2018, and are expected to continue rising in 2019.2 For the ninth consecutive year, Feeding America has conducted the Map the 1,352 Meal Gap study to improve our understanding of how food insecurity and counties (43%) have food costs vary at the local level. This brief focuses on the variation in local meal costs higher than food prices and the average cost of a meal, one of four related topics that the national average. make up the Map the Meal Gap 2019 report briefs. Through the lens of local meal costs, it is possible to see how people already struggling with hunger in communities across the country can find it difficult to afford enough food to live active, healthy lives. $3.02 is the national average meal cost. -
Does Google Search Index Help Track and Predict Inflation Rate? an Exploratory Analysis for India
Does Google Search Index Help Track and Predict Inflation Rate? An Exploratory Analysis for India By G. P. Samanta1 Abstract: The forward looking outlook or market expectations on inflation constitute valuable input to monetary policy, particularly in the ‘inflation targeting' regime. However, prediction or quantification of market expectations is a challenging task. The time lag in the publication of official statistics further aggravates the complexity of the issue. One way of dealing with non-availability of relevant data in real- time basis involves assessing the current or nowcasting the inflation based on a suitable model using past or present data on related variables. The forecast may be generated by extrapolating the model. Any error in the assessment of the current inflationary pressure thus may lead to erroneous forecasts if the latter is conditional upon the former. Market expectations may also be quantified by conducting suitable surveys. However, surveys are associated with substantial cost and resource implications, in addition to facing certain conceptual and operational challenges in terms of representativeness of the sample, estimation techniques, and so on. As a potential alternative to address this issue, recent literature is examining if the information content of the vast Google trend data generated through the volume of searches people make on the keyword ‘inflation' or a suitable combination of keywords. The empirical literature on the issue is mostly exploratory in nature and has reported a few promising results. Inspired by this line of works, we have examined if the search volume on the keywords ‘inflation’ or ‘price’in the Google search engine is useful to track and predict inflation rate in India. -
International Food Security Assessment, 2020-2030
Summary United States Department of Agriculture A report summary from the Economic Research Service August 2020 United States Department of Agriculture Economic Research Service International Food Security International Food Security Assessment, Assessment, 2020–30 GFA-31 August 2020 2020–30 Felix Baquedano, Cheryl Christensen, Kayode Ajewole, Despite sharp income declines in 2020 due to the COVID-19 pandemic, food security outlook improves by 2030 for 76 low- and middle-income countries. and Jayson Beckman What Is the Issue? Income, food prices and economic inequality are major factors determining how much access people have to food. Agricultural production and market conditions affect how much food is available. Widespread food availability, rising income levels, and low food prices improve a country’s food security, although the breadth of these gains can depend on the distribution of income within a country. Conversely, disruptions to income, prices, or food supply can increase food insecurity, especially for the poor. Understanding how these factors collectively influ- ence food demand provides a measure of progress in assessing food security. This report looks at these factors to assess current-year levels of food security and to project changes in food security over the next decade for 76 low- and middle-income countries in Sub-Saharan and North Africa, and in Latin America and Asia. The report provides information for USDA and its stakeholders to estimate long-term projections of food security in these countries. It also analyzes the impact of an income shock associated with the COVID-19 pandemic on present and future food security. What Did the Study Find? Given the rapidly evolving situation at the country level and the uncertainty of estimates of economic shocks from the COVID-19 pandemic at the country and global levels, the results presented in this report are representative of a baseline scenario based on macroeconomic trends up to April 2020, consumption and production data up to January 2020, and price trends over the period 2017–2019. -
WT/GC/W/757 16 January 2019 (19-0259) Page
WT/GC/W/757 16 January 2019 (19-0259) Page: 1/45 General Council Original: English AN UNDIFFERENTIATED WTO: SELF-DECLARED DEVELOPMENT STATUS RISKS INSTITUTIONAL IRRELEVANCE COMMUNICATION FROM THE UNITED STATES The following communication, dated 15 January 2019, is being circulated at the request of the delegation of the United States. _______________ 1 INTRODUCTION 1.1. In the preamble to the Marrakesh Agreement Establishing the World Trade Organization, the Parties recognized that "their relations in the field of trade and economic endeavor should be conducted with a view to raising standards of living, ensuring full employment and a large and steadily growing volume of real income and effective demand, and expanding the production of and trade in goods and services, while allowing for the optimal use of the world's resources in accordance with the objective of sustainable development…." 1.2. Since the WTO's inception in 1995, Members have made significant strides in pursuing these aims. Global Gross National Income (GNI) per capita on a purchasing-power-parity (PPP) basis, adjusted for inflation, surged by nearly two-thirds, from $9,116 in 1995 to $15,072 in 2016.1 The United Nations Development Program's (UNDP) Human Development Index (HDI) for the world increased from 0.598 to 0.728 between 1990 and 2017.2 According to the World Bank, between 1993 and 2015 — the most recent year for which comprehensive data on global poverty is available — the percentage of people around the world who live in extreme poverty fell from 33.5 percent to 10 percent, the lowest poverty rate in recorded history.3 Despite the world population increasing by more than two billion people between 1990 and 2015, the number of people living in extreme poverty fell by more than 1.1 billion during the same period, to about 736 million.4 1.3. -
Burgernomics: a Big Mac Guide to Purchasing Power Parity
Burgernomics: A Big Mac™ Guide to Purchasing Power Parity Michael R. Pakko and Patricia S. Pollard ne of the foundations of international The attractive feature of the Big Mac as an indi- economics is the theory of purchasing cator of PPP is its uniform composition. With few power parity (PPP), which states that price exceptions, the component ingredients of the Big O Mac are the same everywhere around the globe. levels in any two countries should be identical after converting prices into a common currency. As a (See the boxed insert, “Two All Chicken Patties?”) theoretical proposition, PPP has long served as the For that reason, the Big Mac serves as a convenient basis for theories of international price determina- market basket of goods through which the purchas- tion and the conditions under which international ing power of different currencies can be compared. markets adjust to attain long-term equilibrium. As As with broader measures, however, the Big Mac an empirical matter, however, PPP has been a more standard often fails to meet the demanding tests of elusive concept. PPP. In this article, we review the fundamental theory Applications and empirical tests of PPP often of PPP and describe some of the reasons why it refer to a broad “market basket” of goods that is might not be expected to hold as a practical matter. intended to be representative of consumer spending Throughout, we use the Big Mac data as an illustra- patterns. For example, a data set known as the Penn tive example. In the process, we also demonstrate World Tables (PWT) constructs measures of PPP for the value of the Big Mac sandwich as a palatable countries around the world using benchmark sur- measure of PPP. -
The Global Food Price Crisis: Lessons and Ideas for Relief Planners and Managers
The Global Food Price Crisis: Lessons and Ideas for Relief Planners and Managers The first half of 2008 was marked by significant rises in commodity prices, with food price increases averaging 52 percent between 2007 and 2008. While the response to the wider situation is largely outside the scope of humanitarian programmes, those managing relief and recovery efforts have faced a number of challenges. This paper lays out the background to the food price rises, outlines a number of key challenges for those planning and managing relief efforts, and suggests ideas, tools and approaches that could prove of value. Contents Introduction........................................................................................................................2 Section 1: Background and Context..................................................................................2 Section 2: Ideas and Lessons ...........................................................................................8 Ideas for Analysis and Planning ..................................................................................9 Ideas for Implementation...........................................................................................23 Appendix: Detailed tables and boxes referred to in the paper ........................................37 References......................................................................................................................49 www.alnap.org 2 INTRODUCTION The aim of this paper is to assist those working in agencies undertaking -
RBC International Index Currency Neutral Fund
RBC International Index Currency Neutral Fund Investment objective Performance analysis for Series A as of August 31, 2021 To provide long-term capital growth, while Growth of $10,000 Series A $21,632 minimizing the exposure to currency 26 fluctuations between foreign currencies and the 22 Canadian dollar, by tracking the performance of its benchmark through investment, primarily, in 18 units of iShares Core MSCI EAFE IMI Index ETF (CAD-Hedged). 14 10 Fund details 6 Load Fund Series Currency 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 YTD structure code A No load CAD RBF559 Calendar returns % 30 Inception date October 1998 Total fund assets $MM 557.8 20 Series A NAV $ 12.90 10 Series A MER % 0.62 0 Income distribution Annually -10 Capital gains distribution Annually -20 Sales status Open Minimum investment $ 500 Subsequent investment $ 25 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 YTD Risk rating Medium -12.4 16.4 25.7 5.1 3.6 5.7 14.9 -10.8 22.8 0.4 16.0 Fund Fund category International Equity 2nd 2nd 2nd 1st 4th 1st 3rd 3rd 1st 3rd 1st Quartile Benchmark 100% MSCI EAFE IMI Hedged 100% to 1 Mth 3 Mth 6 Mth 1 Yr 3 Yr 5 Yr 10 Yr Since incep. Trailing return % CAD Net Index 2.0 3.5 12.4 28.3 8.3 9.6 9.4 4.6 Fund 4th 4th 1st 1st 2nd 2nd 2nd — Quartile Notes 713 710 699 669 567 430 221 — # of funds in category Fund’s investment objective changed April 9, 2019 and June 30, 2017. -
World Trade Statistical Review 2021
World Trade Statistical Review 2021 8% 4.3 111.7 4% 3% 0.0 -0.2 -0.7 Insurance and pension services Financial services Computer services -3.3 -5.4 World Trade StatisticalWorld Review 2021 -15.5 93.7 cultural and Personal, services recreational -14% Construction -18% 2021Q1 2019Q4 2019Q3 2020Q1 2020Q4 2020Q3 2020Q2 Merchandise trade volume About the WTO The World Trade Organization deals with the global rules of trade between nations. Its main function is to ensure that trade flows as smoothly, predictably and freely as possible. About this publication World Trade Statistical Review provides a detailed analysis of the latest developments in world trade. It is the WTO’s flagship statistical publication and is produced on an annual basis. For more information All data used in this report, as well as additional charts and tables not included, can be downloaded from the WTO web site at www.wto.org/statistics World Trade Statistical Review 2021 I. Introduction 4 Acknowledgements 6 A message from Director-General 7 II. Highlights of world trade in 2020 and the impact of COVID-19 8 World trade overview 10 Merchandise trade 12 Commercial services 15 Leading traders 18 Least-developed countries 19 III. World trade and economic growth, 2020-21 20 Trade and GDP in 2020 and early 2021 22 Merchandise trade volume 23 Commodity prices 26 Exchange rates 27 Merchandise and services trade values 28 Leading indicators of trade 31 Economic recovery from COVID-19 34 IV. Composition, definitions & methodology 40 Composition of geographical and economic groupings 42 Definitions and methodology 42 Specific notes for selected economies 49 Statistical sources 50 Abbreviations and symbols 51 V. -
Market Briefing: MSCI Currency Indexes
Market Briefing: MSCI Currency Indexes Yardeni Research, Inc. October 1, 2021 Dr. Edward Yardeni 516-972-7683 [email protected] Joe Abbott 732-497-5306 [email protected] Please visit our sites at www.yardeni.com blog.yardeni.com thinking outside the box Table Of Contents TableTable OfOf ContentsContents Figures All Country World MSCI 3 All Country World ex-US MSCI 4 BRIC MSCI 5 Developed Europe MSCI 6 Developed World ex-US MSCI 7 EAFE MSCI 8 Emerging Markets MSCI 9 EM Asia MSCI 10 EM Eastern Europe MSCI 11 EM Latin America MSCI 12 EMU MSCI 13 Europe MSCI 14 Europe ex-United Kingdom MSCI 15 October 1, 2021 / MSCI Currency Indexes Yardeni Research, Inc. www.yardeni.com All Country World MSCI Figure 1. 800 865 750 ALL COUNTRY WORLD MSCI INDEX 815 700 (ratio scale) 10/1 765 650 715 665 600 Local currency 615 550 565 500 US$ 515 450 465 400 415 350 365 300 315 250 265 200 215 yardeni.com 150 165 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Source: MSCI. Figure 2. 1.00 1.00 ALL COUNTRY WORLD MSCI INDEX CURRENCY RATIO (US$ index / local currency index) .95 .95 .90 .90 10/1 .85 .85 .80 .80 yardeni.com .75 .75 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Source: MSCI.