2014 Hyperinflation Report—Great Economic Tumble
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Fritz Machlup's Construction of a Synthetic Concept
The Knowledge Economy: Fritz Machlup’s Construction of a Synthetic Concept Benoît Godin 385 rue Sherbrooke Est Montreal, Quebec Canada H2X 1E3 [email protected] Project on the History and Sociology of S&T Statistics Working Paper No. 37 2008 Previous Papers in the Series: 1. B. Godin, Outlines for a History of Science Measurement. 2. B. Godin, The Measure of Science and the Construction of a Statistical Territory: The Case of the National Capital Region (NCR). 3. B. Godin, Measuring Science: Is There Basic Research Without Statistics? 4. B. Godin, Neglected Scientific Activities: The (Non) Measurement of Related Scientific Activities. 5. H. Stead, The Development of S&T Statistics in Canada: An Informal Account. 6. B. Godin, The Disappearance of Statistics on Basic Research in Canada: A Note. 7. B. Godin, Defining R&D: Is Research Always Systematic? 8. B. Godin, The Emergence of Science and Technology Indicators: Why Did Governments Supplement Statistics With Indicators? 9. B. Godin, The Number Makers: A Short History of Official Science and Technology Statistics. 10. B. Godin, Metadata: How Footnotes Make for Doubtful Numbers. 11. B. Godin, Innovation and Tradition: The Historical Contingency of R&D Statistical Classifications. 12. B. Godin, Taking Demand Seriously: OECD and the Role of Users in Science and Technology Statistics. 13. B. Godin, What’s So Difficult About International Statistics? UNESCO and the Measurement of Scientific and Technological Activities. 14. B. Godin, Measuring Output: When Economics Drives Science and Technology Measurements. 15. B. Godin, Highly Qualified Personnel: Should We Really Believe in Shortages? 16. B. Godin, The Rise of Innovation Surveys: Measuring a Fuzzy Concept. -
Economics 329: ECONOMIC STATISTICS Fall 2016, Unique Number 34060 T, Th 3:30 – 5:00 (WCH 1.120) Instructor: Dr
University of Texas at Austin Course Outline Economics 329: ECONOMIC STATISTICS Fall 2016, Unique number 34060 T, Th 3:30 – 5:00 (WCH 1.120) Instructor: Dr. Valerie R. Bencivenga Office: BRB 3.102C Office hours (Fall 2016): T, Th 11:00 – 12:30 Phone: 512-475-8509 Email: [email protected] (course email) or [email protected] The best ways to contact me are by email and in person after class or in office hours. If I don’t answer my phone, do not leave a phone message – please send an email. Use the course email for most emails, including exam scheduling. COURSE OBJECTIVES Economic Statistics is a first course in quantitative methods that are widely-used in economics and business. The main objectives of this course are to explore methods for describing data teach students how to build and analyze probability models of economic and business situations introduce a variety of statistical methods used to draw conclusions from economic data, and to convey the conceptual and mathematical foundations of these methods lay a foundation for econometrics COURSE DESCRIPTION SEGMENT 1. The unit on descriptive statistics covers methods for describing the distribution of data on one or more variables, including measures of central tendency and dispersion, correlation, frequency distributions, percentiles, and histograms. In economics and business, we usually specify a probability model for the random process that generated the data (data-generating process, or DGP). The unit on probability theory covers the set-theoretic foundations of probability and the axioms of probability; rules of probability derived from the axioms, including Bayes’ Rule; counting rules; and joint probability distributions. -
Pandemic 101:A Roadmap to Help Students Grasp an Economic Shock
Social Education 85(2) , pp.64–71 ©2021 National Council for the Social Studies Teaching the Economic Effects of the Pandemic Pandemic 101: A Roadmap to Help Students Grasp an Economic Shock Kim Holder and Scott Niederjohn This article focuses on the major national economic indicators and how they changed within the United States real GDP; the over the course of the COVID-19 pandemic. The indicators that we discuss include output from a Ford plant in Canada is not. Gross Domestic Product (GDP), the unemployment rate, interest rates, inflation, and Economists typically measure real GDP other variations of these measures. We will also present data that sheds light on the as a growth rate per quarter: Is GDP get- monetary and fiscal policy responses to the pandemic. Graphs of these statistics are ting bigger or smaller compared to a prior sure to grab teachers’ and students’ attention due to the dramatic shock fueled by the quarter? In fact, a common definition of pandemic. We will explain these economic indicators with additional attention to what a recession is two quarters in a row of they measure and the limitations they may present. Teachers will be introduced to the declining real GDP. Incidentally, it also Federal Reserve Economic Database (FRED), which is a rich source of graphs and measures total U.S. income (and spend- information for teacher instruction and student research. Further classroom-based ing) and that explains why real GDP per resources related to understanding the economic effects of the COVID-19 pandemic capita is a well-established measure used are also presented. -
Occasional Paper 03 November 2020 ISSN 2515-4664
Public Understanding of Economics and Economic Statistics Johnny Runge and Nathan Hudson Advisory team: Amy Sippitt Mike Hughes Jonathan Portes ESCoE Occasional Paper 03 November 2020 ISSN 2515-4664 OCCASIONAL PAPER Public Understanding of Economics and Economic Statistics Johnny Runge and Nathan Hudson ESCoE Occasional Paper No. 03 November 2020 Abstract This study explores the public understanding of economics and economics statistics, through mixed-methods research with the UK public, including 12 focus groups with 130 participants and a nationally representative survey with 1,665 respondents. It shows that people generally understand economic issues through the lens of their familiar personal economy rather than the abstract national economy. The research shows that large parts of the UK public have misperceptions about how economic figures, such as the unemployment and inflation rate, are collected and measured, and who they are produced and published by. This sometimes affected participants’ subsequent views of the perceived accuracy and reliability of economic statistics. Broadly, the focus groups suggested that people are often sceptical and cynical about any data they see, and that official economic data are subject to the same public scrutiny as any other data. In line with other research, the survey found consistent and substantial differences in economic knowledge and interest across different groups of the UK population. This report will be followed up with an engagement exercise to discuss findings with stakeholders, in order to draw out recommendations on how to improve the communication of economics and economic statistics to the public. Keywords: public understanding, public perceptions, communication, economic statistics JEL classification: Z00, D83 Johnny Runge, National Institute of Economic and Social Research and ESCoE, [email protected] and Nathan Hudson, National Institute of Economic and Social Research and ESCoE. -
ONS Economic Statistics and Analysis Strategy
Economic statistics and analysis strategy HOTEL September 2016 www.ons.gov.uk Economic statistics and analysis strategy, Office for National Statistics, September 2016 Economic Statistics and Analysis Strategy Office for National Statistics September 2016 Introduction ONS published its Economic Statistics and Analysis Strategy (ESAS) for consultation in May 2016, building upon the National Accounts Strategy1, but going further to cover the whole of Economic Statistics Analysis in the light of the recommendations of the Bean Review. This strategy will be reviewed and updated annually to reflect of changing needs and priorities, and availability of resources, in order to give a clear prioritisation for ONS’s work on economic statistics, but also our research and Joint working agendas. Making explicit ONS’s perceived priorities will allow greater scrutiny and assurance that these are the right ones. ESAS lays out research and development priorities, making it easier for external experts to see the areas where ONS has and would be particularly keen to collaborate. The strategy was published for consultation and ONS thanks all users of ONS economic statistics and other parties, including those in government, academia, and the private sector who provided comments as part of the consultation. These comments have now been taken on board and incorporated into this latest version of the ESAS. Overview The main focus of ONS’s strategy for economic statistics and analysis over the period to 2021 will be in the following areas: 1 Available at Annex 1. 1 Economic statistics and analysis strategy, Office for National Statistics, September 2016 • Taking forward the programme set out in the latest national accounts strategy and work plan to meet international reporting standards according to the agreed timetable; and to improve the measurement of Gross Domestic Product (GDP) through the introduction of constant price supply and use balancing, the adoption of double deflated estimates of gross value added and improved use and specification of price indices. -
The Rising Thunder El Nino and Stock Markets
THE RISING THUNDER EL NINO AND STOCK MARKETS: By Tristan Caswell A Project Presented to The Faculty of Humboldt State University In Partial Fulfillment of the Requirements for the Degree Master of Business Administration Committee Membership Dr. Michelle Lane, Ph.D, Committee Chair Dr. Carol Telesky, Ph.D Committee Member Dr. David Sleeth-Kepler, Ph.D Graduate Coordinator July 2015 Abstract THE RISING THUNDER EL NINO AND STOCK MARKETS: Tristan Caswell Every year, new theories are generated that seek to describe changes in the pricing of equities on the stock market and changes in economic conditions worldwide. There are currently theories that address the market value of stocks in relation to the underlying performance of their financial assets, known as bottom up investing, or value investing. There are also theories that intend to link the performance of stocks to economic factors such as changes in Gross Domestic Product, changes in imports and exports, and changes in Consumer price index as well as other factors, known as top down investing. Much of the current thinking explains much of the current movements in financial markets and economies worldwide but no theory exists that explains all of the movements in financial markets. This paper intends to propose the postulation that some of the unexplained movements in financial markets may be perpetuated by a consistently occurring weather phenomenon, known as El Nino. This paper intends to provide a literature review, documenting currently known trends of the occurrence of El Nino coinciding with the occurrence of a disturbance in the worldwide financial markets and economies, as well as to conduct a statistical analysis to explore whether there are any statistical relationships between the occurrence of El Nino and the occurrence of a disturbance in the worldwide financial markets and economies. -
History of Financial Turbulence and Crises Prof
History of Financial Turbulence and Crises Prof. Michalis M. Psalidopoulos Spring term 2011 Course description: The outbreak of the 2008 financial crisis has rekindled academic interest in the history of fi‐ nancial turbulence and crises – their causes and consequences, their interpretations by eco‐ nomic actors and theorists, and the policy responses they stimulated. In this course, we use the analytical tools of economic history, the history of economic policy‐ making and the history of economic thought, to study episodes of financial turbulence and crisis spanning the last three centuries. This broad historical canvas offers such diverse his‐ torical examples as the Dutch tulip mania of the late 17th century, the German hyperinflation of 1923, the Great Crash of 1929, the Mexican Peso crisis of 1994/5 and the most recent sub‐ prime mortgage crisis in the US. The purpose of this historical journey is twofold: On the one hand, we will explore the prin‐ cipal causes of a variety of different manias, panics and crises, as well as their consequences – both national and international. On the other hand, we shall focus on the way economic ac‐ tors, economic theorists and policy‐makers responded to these phenomena. Thus, we will also discuss bailouts, sovereign debt crises and bankruptcies, hyperinflations and global re‐ cessions, including the most recent financial crisis of 2008 and the policy measures used to address it. What is more, emphasis shall be placed on the theoretical framework with which contemporary economists sought to conceptualize each crisis, its interplay with policy‐ making, as well as the possible changes in theoretical perspective that may have been precipi‐ tated by the experience of the crises themselves. -
The Panic of 1893 and the Election of 1896
U.S. HISTORY LESSON 3.4 The Panic of 1893 and the Election of 1896 reform human capital debt safety net trade-off GDP deficit priorities spending Medicare mandatory budget Social Security revenue health care governance discretionary baby boomers economic growth infrastructure ESSENTIAL DILEMMA Were the contradictory responses political leaders had to the panic of 1893 driven more by economic/political self-interest or by differing visions of what kind of country they wanted the United States to be? INTRODUCTION “Wall Street Topsy-Turvy, The Famous ‘Street’ Passes Another Eventful Black Friday. It is said at the Treasury that the time has passed when the Government can aid Wall Street.” —Arkansas Gazette, May 5, 1893 (McMillan, 2010) In August 1893, President Grover Cleveland called a special session of Congress to deal with the financial panic that had hit the United States. Although historians have since taken a more complex view of the causes of the panic, in his message to the special session, Cleveland looked back 3 years to the previous administration, and named the Sherman Silver Purchase Act as the cause of the panic: Our unfortunate plight is . principally chargeable to Congressional legislation touching the purchase and coinage of silver by the General Government. This legislation is embodied in a statute passed on the 14th day of July, 1890, which was the culmination of much agitation on the subject involved, and which may be considered a truce, after a long struggle, between the advocates of free silver coinage and those intending to be more conservative. (Cleveland, 1893) President Cleveland oversaw the repeal of the Sherman Silver Purchase Act before the year’s end and, perhaps by coincidence, the panic only intensified. -
Financial Panics and Scandals
Wintonbury Risk Management Investment Strategy Discussions www.wintonbury.com Financial Panics, Scandals and Failures And Major Events 1. 1343: the Peruzzi Bank of Florence fails after Edward III of England defaults. 2. 1621-1622: Ferdinand II of the Holy Roman Empire debases coinage during the Thirty Years War 3. 1634-1637: Tulip bulb bubble and crash in Holland 4. 1711-1720: South Sea Bubble 5. 1716-1720: Mississippi Bubble, John Law 6. 1754-1763: French & Indian War (European Seven Years War) 7. 1763: North Europe Panic after the Seven Years War 8. 1764: British Currency Act of 1764 9. 1765-1769: Post war depression, with farm and business foreclosures in the colonies 10. 1775-1783: Revolutionary War 11. 1785-1787: Post Revolutionary War Depression, Shays Rebellion over farm foreclosures. 12. Bank of the United States, 1791-1811, Alexander Hamilton 13. 1792: William Duer Panic in New York 14. 1794: Whiskey Rebellion in Western Pennsylvania (Gallatin mediates) 15. British currency crisis of 1797, suspension of gold payments 16. 1808: Napoleon Overthrows Spanish Monarchy; Shipping Marques 17. 1813: Danish State Default 18. 1813: Suffolk Banking System established in Boston and eventually all of New England to clear bank notes for members at par. 19. Second Bank of the United States, 1816-1836, Nicholas Biddle 20. Panic of 1819, Agricultural Prices, Bank Currency, and Western Lands 21. 1821: British restoration of gold payments 22. Republic of Poyais fraud, London & Paris, 1820-1826, Gregor MacGregor. 23. British Banking Crisis, 1825-1826, failed Latin American investments, etc., six London banks including Henry Thornton’s Bank and sixty country banks failed. -
Evidence from the Panic of 1873
Banks, Insider Connections, and Industrialization in New England: Evidence from the Panic of 1873 Eric Hilt Wellesley College and NBER Abstract: Using newly collected data from Massachusetts, this paper documents the extent of bank director representation non-financial firms’ boards, and investigates whether bank-affiliated companies fared better during the recession that followed the Panic of 1873. Around 59 percent of all non-financial corporations had at least one bank director on their boards. These firms survived the recession of the 1870s at higher rates, and among the surviving firms, those with bank affiliations saw their growth rates and credit ratings decline less than firms without bank affiliations. Consistent with banker-directors helping to resolve problems related to asymmetric information, these effects were strongest among younger firms, and those with lower shares of fixed assets on their balance sheets. In contrast, the presence of bank cashiers on firms’ boards, which created an association with a bank without significantly increasing the likelihood of a credit relationship, had no effect. These results imply that during New England’s industrialization, affiliations with commercial banks helped nonfinancial corporations survive economic downturns. Email [email protected]. I would like to thank Katharine Liang, Paige Kirby, Chloe Peters, and June Wang for research assistance. 1 1. Introduction The contribution of commercial banks to the development of the American economy remains an unsettled issue. Although some have argued that America’s early financial development stimulated its industrialization (Rousseau and Sylla, 2005), part of that financial development may have been undertaken in anticipation of the economic growth that followed. -
Some Critical Problems in Economic Statistics: a Progress Report1
SOME CRITICAL PROBLEMS IN ECONOMIC STATISTICS: A PROGRESS REPORT1 R.W. Edwards First Assistant Statistician Economic Accounts Division Australian Bureau of Statistics PO Box 10 Belconnen ACT 2616 Australia [email protected] 1. Summary The paper reports on progress in dealing with a range of so-called critical problems in economic statistics identified and reported on to the 1997 United Nations Statistical Commission by an Expert Group. The problems were seen as having the potential to affect the confidence of users in economic statistics if not effectively addressed. Overall, the author concludes that satisfactory progress is being made on the problems, thanks to the collaborative efforts of many national and international statistical agencies. 2. Introduction The 1995 United Nations Statistical Commission (UNSC), in discussing "critical problems in economic statistics", recognised that effectively dealing with problems related to the production and dissemination of timely, relevant and accurate economic indicators, as well as their interpretation and use, was critical to the continued integrity of statistics. Responding to this concern statisticians from four countries (Australia, Canada, India, USA), the United Nations Statistical Division and the Organisation for Economic Cooperation and Development were constituted as the Expert Group on Critical Problems in Economic Statistics. The Expert Group's task was to systematise the issues, and to report back to the UNSC at its 1997 meeting. Actions arising from decisions taken by the UNSC, which are the subject of this paper, have driven a considerable proportion of the international agenda in economic statistics over the last few years. 3. The Deliberations of the Expert Group The Expert Group focussed on problems that affect the confidence of users in economic statistics. -
Hyperinflation in Venezuela
POLICY BRIEF recovery can be possible without first stabilizing the explo- 19-13 Hyperinflation sive price level. Doing so will require changing the country’s fiscal and monetary regimes. in Venezuela: A Since late 2018, authorities have been trying to control the price spiral by cutting back on fiscal expenditures, contracting Stabilization domestic credit, and implementing new exchange rate poli- cies. As a result, inflation initially receded from its extreme Handbook levels, albeit to a very high and potentially unstable 30 percent a month. But independent estimates suggest that prices went Gonzalo Huertas out of control again in mid-July 2019, reaching weekly rates September 2019 of 10 percent, placing the economy back in hyperinflation territory. Instability was also reflected in the premium on Gonzalo Huertas was research analyst at the Peterson Institute foreign currency in the black market, which also increased for International Economics. He worked with C. Fred Bergsten in July after a period of relative calm in previous months. Senior Fellow Olivier Blanchard on macroeconomic theory This Policy Brief describes a feasible stabilization plan and policy. Before joining the Institute, Huertas worked as a researcher at Harvard University for President Emeritus and for Venezuela’s extreme inflation. It places the country’s Charles W. Eliot Professor Lawrence H. Summers, producing problems in context by outlining the economics behind work on fiscal policy, and for Minos A. Zombanakis Professor Carmen Reinhart, focusing on exchange rate interventions. hyperinflations: how they develop, how they disrupt the normal functioning of economies, and how other countries Author’s Note: I am grateful to Adam Posen, Olivier Blanchard, across history have designed policies to overcome them.