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| economic data is used: Big Data for Twenty-First-Century Economic Statistics Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, Matthew D. Shapiro, 2022-03-11 Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra. |
| economic data is used: The Economics and Implications of Data Mr.Yan Carriere-Swallow, Mr.Vikram Haksar, 2019-09-23 This SPR Departmental Paper will provide policymakers with a framework for studying changes to national data policy frameworks. |
| economic data is used: Data Analysis for Business, Economics, and Policy Gábor Békés, Gábor Kézdi, 2021-05-06 A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data. |
| economic data is used: The Economics of Artificial Intelligence Ajay Agrawal, Joshua Gans, Avi Goldfarb, Catherine Tucker, 2024-03-05 A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system. |
| economic data is used: Handbook of Key Economic Indicators R. Mark Rogers, 1998 This text provides a thorough explanation of the non-financial economic indicators that are closely watched by the financial markets. It details how the indicators are compiled and what the statistical significance is for the economy, as well as presenting insights into interpreting the data. |
| economic data is used: Analysis of Economic Data Gary Koop, 2013-09-23 Analysis of Economic Data has, over three editions, become firmly established as a successful textbook for students studying data analysis whose primary interest is not in econometrics, statistics or mathematics. It introduces students to basic econometric techniques and shows the reader how to apply these techniques in the context of real-world empirical problems. The book adopts a largely non-mathematical approach relying on verbal and graphical inuition and covers most of the tools used in modern econometrics research. It contains extensive use of real data examples and involves readers in hands-on computer work. |
| economic data is used: The Secrets of Economic Indicators Bernard Baumohl, 2005 Every day, stocks, bonds, and currencies bounce wildly in response to new economic indicators. Money managers obsess over those statistics, because they provide crucial clues about the future of the economy and the financial markets. Now you can use these indicators to make smarter investment decisions, just like the professionals do.You don't need an economics degree, or a CPA... just this easy-to-use book. Former TIME Magazine senior economics reporter Bernard Baumohl has done the impossible: he's made economic indicators fascinating. Using real-world examples and stories, Baumohl illuminates every U.S. and foreign indicator that matters.Where to find them.What they look like. What the insiders know about their track records. And exactly how to interpret them. Whether you're an investor, broker, portfolio manager, researcher, journalist, or student, you'll find this book indispensable.Nobody can predict the future with certainty. But The Secrets of Economic Indicators will get you as close as humanly possible. What the numbers really mean... ...to stocks, bonds, rates, currencies, and you Ahead of the curve: spotting turning points Calling recessions and recoveries in time to profit from them Leading indicators: where's the economy really heading Decoding initial unemployment claims, housing starts, the yield curve, and other predictors Beyond the borders Why foreign indicators are increasingly important-and how to use them Making sense of indicators in conflict What to do when the numbers disagree Finding the data Free web resources for the latest economic dataInvestments This is the most up-to-date guide to economic indicators and their importance to financial markets in print. For anyone trying to follow the economic data, this should be next to your computer so that you can understand and find the data on the Internet. David Wyss, Chief Economist, Standard and Poor's I find Baumohl's writing fascinating. Just about anyone who's serious about understanding which way the economy is headed will want to read this book. It could be a classic. Harry Domash, Columnist for MSN Money and Publisher, Winning Investing Newsletter Every business person or investor should keep a copy of Baumohl's book close-at-hand. It is great, at long last, to have someone who has eliminated what may have been so perplexing to so many and to have done so with such remarkable clarity. Hugh Johnson, Chief Investment Officer, First Albany Bernie Baumohl has written a must read educational and reference book that every individual investor will find indispensable for watching, monitoring, and interpreting the markets. Allen Sinai, President and Chief Global Economist, Decision Economics, Inc. Baumohl has a gift for taking a complicated subject and allowing it to read like a fast-moving novel. I recommend this book if you care about your future finances. Morris E. Lasky, CEO, Lodging Unlimited, Inc.-manager and consultant for $6 billion in hotel assets; Chairman, Lodging Conference; Chairman, International Hotel Conference I think this is an excellent book. It's well written, accessible to a variety of readers, deals with an interesting and important subject, and covers the topic well. It deserves to get a lot of notice and use. D. Quinn Mills, Alfred J. Weatherhead Jr., Professor of Business Administration, Harvard Business School The fascinating, plain-English guide to economic indicators: what they mean, and how to use them. Unemployment. Inflation. Consumer confidence. Retail sales... Every morning brings new economic statistics. Which economic indicators really matter? What do they mean for stocks, bonds, interest rates, currencies...your portfolio? How can you use them to make faster, smarter investment decisions? Simple, clear, non-technical, friendly, usable...the only book of its kind! By former renowned TIME Magazine economics journalist Bernard Baumohl. (c) Copyright Pearson Education. All rights reserved. |
| economic data is used: Essential Economics Matthew Bishop, 2004-05-01 |
| economic data is used: Time the Markets Charles D. Kirkpatrick, 2012 In Time the Markets, award-winning technical analyst Charles D. Kirkpatrick applies technical analysis to key economic indicators and shows how to use them to identify market shifts, avoid loss, and become a more profitable long-term investor. Drawing on many years of publicly available data, Kirkpatrick demonstrates how to uncover powerful buy and sell signals and shows how to incorporate corporate, industry, monetary, sentiment, and market data into reliable timing indicators that can help you recognize impending stock and bond market dangers--and get out of the way. Relying primarily on proven technical analysis methods, Kirkpatrick incorporates trading system methods that have proven successful in market timing, including trend and momentum analysis, use of protective and trailing stops, and periodicity. Reflecting the latest insights into behavioral finance, he shares important new insight into measuring marketplace momentum and sentiment--helping long-term investors identify and evade the marketplace irrationalities that often cause capital loss. |
| economic data is used: Economic Systems Analysis: Statistical Indicators Elena V. Sibirskaya, Lyudmila V. Oveshnikova, Lilia A. Mikheykina, Innara R. Lyapina, 2018-05-15 This book explores a wide range of issues related to the methodology, organization, and technologies of analytical work, showing the potential of using analytical tools and statistical indicators for studying socio-economic processes, forecasting, organizing effective companies, and improving managerial decisions. At the level of “living knowledge” in the broad context, it describes the essence of analytical technologies and means of applying analytical and statistical work. The book is of interest to readers regardless of their specialization: scientific research, medicine, pedagogics, law, administrative work, or economic practice. Starting from the premise that readers are familiar with the theory of statistics, which has formulated the general methods and principles of establishing the quantitative characteristics of mass phenomena and processes, it describes the concepts, definitions, indicators and classifications of socio-economic statistics, taking into consideration the international standards and the present-day practice of statistics in Russia. Although concise, the book provides plenty of study material as well as questions at the end of each chapter It is particularly useful for those interested in self-study or remote education, as well as business leaders who are interested in gaining a scientific understanding of their financial and economic activities. |
| economic data is used: An Inquiry Into the Nature and Causes of the Wealth of Nations Adam Smith, 1822 |
| economic data is used: The Global Findex Database 2017 Asli Demirguc-Kunt, Leora Klapper, Dorothe Singer, Saniya Ansar, 2018-04-19 In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex. |
| economic data is used: Economic Indicators For Dummies Michael Griffis, 2011-10-04 Everything you need to easily get a handle on economic indicators In today's volatile, often troubling economic landscape, there are myriad statistics and reports that paint an economic picture that can sometimes resemble a work by Jackson Pollock. These complex and often-conflicting reports could vex even the savviest investor. Economic Indicators For Dummies explains how to interpret and use key global economic indicators to make solid investments, aid in business planning, and help develop informed decisions. In plain English, it breaks down the complex language and statistics to help you make sense of this critical information. You'll discover how to interpret economic data within the context of other sometimes-conflicting reports and statistics, and use the information to make profitable decisions. You'll understand the meaning of such data as employment indices and housing and construction stats and how they affect stocks, bonds, commodities and international markets . . . and how you can use these statistics to make investment decisions as well as plan strategic goals for business growth. Economic Indicators For Dummies breaks down dozens of statistics and patterns to give you a better understanding of how various sources of data and information can be used. Breaks down jargon and statistical concepts Covers how to use publicly available economic indicators to better position your portfolio, improve returns, and make sensible, long-range business plans Discusses the reliability and timeliness of the collected data, while helping investors prioritize the flow of economic information to avoid information overload Whether you're an investor, economics student, or business professional involved in making key strategic decisions for your company, Economic Indicators For Dummies has you covered. |
| economic data is used: Narrative Economics Robert J. Shiller, 2020-09-01 From Nobel Prize–winning economist and New York Times bestselling author Robert Shiller, a groundbreaking account of how stories help drive economic events—and why financial panics can spread like epidemic viruses Stories people tell—about financial confidence or panic, housing booms, or Bitcoin—can go viral and powerfully affect economies, but such narratives have traditionally been ignored in economics and finance because they seem anecdotal and unscientific. In this groundbreaking book, Robert Shiller explains why we ignore these stories at our peril—and how we can begin to take them seriously. Using a rich array of examples and data, Shiller argues that studying popular stories that influence individual and collective economic behavior—what he calls narrative economics—may vastly improve our ability to predict, prepare for, and lessen the damage of financial crises and other major economic events. The result is nothing less than a new way to think about the economy, economic change, and economics. In a new preface, Shiller reflects on some of the challenges facing narrative economics, discusses the connection between disease epidemics and economic epidemics, and suggests why epidemiology may hold lessons for fighting economic contagions. |
| economic data is used: Introduction to Economic Analysis R. Preston McAfee, 2009-09-24 This book presents introductory economics material using standard mathematical tools, including calculus. It is designed for a relatively sophisticated undergraduate who has not taken a basic university course in economics. The book can easily serve as an intermediate microeconomics text. The focus of this book is on the conceptual tools. Contents: 1) What is Economics? 2) Supply and Demand. 3) The US Economy. 4) Producer Theory. 5) Consumer Theory. 6) Market Imperfections. 7) Strategic Behavior. |
| economic data is used: The Use of Economic Data in Collective Bargaining Marvin Friedman, 1978 |
| economic data is used: The Conscience of a Liberal Paul Krugman, 2009-01-12 The most consistent and courageous—and unapologetic—liberal partisan in American journalism. —Michael Tomasky, New York Review of Books In this clear, provocative (Boston Globe) New York Times bestseller, Paul Krugman, today's most widely read economist, examines the past eighty years of American history, from the reforms that tamed the harsh inequality of the Gilded Age and the 1920s to the unraveling of that achievement and the reemergence of immense economic and political inequality since the 1970s. Seeking to understand both what happened to middle-class America and what it will take to achieve a new New Deal, Krugman has created his finest book to date, a stimulating manifesto offering a compelling historical defense of liberalism and a clarion call for Americans to retake control of their economic destiny (Publishers Weekly). As Democrats seek a rationale not merely for returning to power, but for fundamentally changing—or changing back—the relationship between America's government and its citizens, Mr. Krugman's arguments will prove vital in the months and years ahead. —Peter Beinart, New York Times |
| economic data is used: Economical Writing, Third Edition Deirdre Nansen McCloskey, 2019-05-17 Write clearly about any subject: “Writers should check out Economical Writing, and editors should recommend it. Your future readers will be thankful.” —Journal of Scholarly Publishing Economics is not a field known for good writing. Charts, yes. Sparkling prose, no. Except, that is, when it comes to Deirdre Nansen McCloskey. Her conversational and witty yet always clear style is a hallmark of her classic works of economic history, enlivening the dismal science and engaging readers well beyond the discipline. And now she’s here to share the secrets of how it’s done, no matter what your field. Economical Writing is itself economical: a collection of thirty-five pithy rules for making your writing clear, concise, and effective. Proceeding from big-picture ideas to concrete strategies for improvement at the level of the paragraph, sentence, or word, McCloskey shows us that good writing, after all, is not just a matter of taste—it’s a product of adept intuition and a rigorous revision process. Debunking stale rules, warning us that “footnotes are nests for pedants,” and offering an arsenal of readily applicable tools and methods, she shows writers of all levels of experience how to rethink the way they approach their work, and gives them the knowledge to turn mediocre prose into magic. At once efficient and digestible, hilarious and provocative, Economical Writing lives up to its promise. With McCloskey as our guide, we discover how any piece of writing—on economics or any other subject—can be a pleasure to read. |
| economic data is used: On the accuracy of economic observations , 1950 |
| economic data is used: The Complete Idiot's Guide to Economic Indicators R. Rogers, 2009-10-06 An expert helps readers understand what the big economic picture means for their money—and how to respond. Today's investors must play an active role in managing their money. This guide introduces the leading U.S. economic indicators and shows how to use them to make better investment decisions. Indicators covered include: national output; employment; consumer reports; housing and construction; and inflation. • The recession: the days of putting money in an index fund and forgetting about it are over • Most books on economic indicators are too academic, aimed at professionals, and written before the financial crisis • Author with over 25 years of tracking the economy |
| economic data is used: Guide to Economic Indicators Norman Frumkin, 2015-05-20 Now revised and expanded, this widely-used desk reference provides quick and easy access to current and reliable data on the major statistical measures of the U.S. economy. Equally useful for students, general readers, economists, analysts, journalists, and investors, the guide provides concise, jargon-free explanations of the meaning, use, and availability of more than 70 macroeconomic indicators, including websites, recent trends, and current data. |
| economic data is used: The Trader's Guide to Key Economic Indicators Richard Yamarone, 2012-06-26 A handy reference to understanding key economic indicators and acting on them New economic data are reported virtually every trading day. Investors, big and small, have to understand how these reports influence their investments, portfolios, and future sources of income. The third edition of The Trader's Guide to Key Economic Indicators examines the most important economic statistics currently used on Wall Street. In a straightforward and accessible style, it tells you exactly what these reports measure and what they really mean. Filled with in-depth insights and practical advice, this reliable resource sheds some much-needed light on theses numbers and data releases and shows you what to look for and how to react to various economic indicators. Covers everything from gross domestic product and employment to consumer confidence and spending Author Richard Yamarone shares his experience as a former trader, academic, and current Wall Street economist Illustrated with instructive graphs and charts that will put you ahead of market curves Engaging and informative, this book will put you in a better position to make more informed investment decisions, based of some of today's most influential economic indicators. |
| economic data is used: Economic Indicators for Professionals Charles Steindel, 2018-08-15 We are bombarded with economic numbers: unemployment, retail sales, inflation, GDP—the list goes on and on. Some analyst or another is constantly telling us about an obscure statistic that is the key to our future, or is apparently the indicator that the Fed will be using to key off its decisions. With economic numbers playing such a central role in the national and world dialogue on policy and markets, and spilling over into the political arena, a broad review of what they are all about is timely. This book reviews the critical US economic data, and how one may put the numbers into an intellectual structure that will depict evolving economic reality. The work is aimed at those who want and need to get some understanding about how the data contributes to a big picture of the economy and guides policy. The objective is for the reader to grasp the overall logic of the data—how each piece of the puzzle contributes to our understanding of the overall economy. This is the way the Fed looks at the numbers. There are other books that go through the economic numbers, but they do so in a bottom-up fashion, describing a series in some detail and adding something about how financial markets may respond to it. This book naturally has considerable discussion of series, but views them as part of the overall mosaic, not items of fundamental interest in themselves. |
| economic data is used: Using Economic Indicators to Improve Investment Analysis Evelina M. Tainer, 2006-03-10 A virtual bible of how economic indicators are constructed andused. Important tidbits of history are mixed with present-daynuances to explain why we should care about all the economicindicators. ?Allen Grommet, Senior Economist, Cambridge Consumer Credit Index This book is an indispensable resource for anyone that wants apractical understanding of the economy and how it is measured. Theinformation is clear, concise, and will help investors at alllevels leverage the vast amount of economic data available. ?Jesse Harriott, PhD, Vice President of Research, MonsterWorldwide, Inc. This updated guide to economic indicators -- what they are andwhat they really mean -- covers all major economic indicators, fromGDP to the consumer price index. You'll not only learn what keyeconomic measurements are and how to read and interpret them,you'll discover how to use them to make better, more-informedfinancial, trading, and investing decisions. |
| economic data is used: Economic Analysis of Property Rights Yoram Barzel, 1997-04-13 This is a study of the way individuals organise the use of resources in order to maximise the value of their economic rights over these resources. |
| economic data is used: The Orange Economy Inter American Development Bank, Iván Duque Márquez, Pedro Felipe Buitrago Restrepo, 2013-10-01 This manual has been designed and written with the purpose of introducing key concepts and areas of debate around the creative economy, a valuable development opportunity that Latin America, the Caribbean and the world at large cannot afford to miss. The creative economy, which we call the Orange Economy in this book (you'll see why), encompasses the immense wealth of talent, intellectual property, interconnectedness, and, of course, cultural heritage of the Latin American and Caribbean region (and indeed, every region). At the end of this manual, you will have the knowledge base necessary to understand and explain what the Orange Economy is and why it is so important. You will also acquire the analytical tools needed to take better advantage of opportunities across the arts, heritage, media, and creative services. |
| economic data is used: The History of Economic Ideas Brandon Dupont, 2017-03-31 The global financial crisis has drawn attention to the importance of understanding historical ideas and learning lessons from the past. However, it can sometimes be difficult to trace the connections between old ideas and modern day issues. This textbook traces the evolution of economic ideas from the ancient to the modern world by examining the contributions of the most important scholars to some of the most important ideas in economics. The History of Economic Ideas surveys topics that are important for the understanding of contemporary economic issues, including the ethical foundations of modern economics; ideas regarding property rights; price theory; money and interest; public finance; the theories of business cycles and economic growth; international trade; and issues related to population and resource use. The book’s originality lies in its overall organization, which allows readers to explore the development of ideas on a specific topic in detail. Yet it is brief enough to use alongside the original writings on which it is based. Filled with student-friendly features including a series of Did You Know facts and end-of-chapter questions, this book is engaging and provides invaluable reading for all students of the history of economic thought and economic issues. |
| economic data is used: The Handbook of Historical Economics Alberto Bisin, Giovanni Federico, 2021-04-27 The Handbook of Historical Economics guides students and researchers through a quantitative economic history that uses fully up-to-date econometric methods. The book's coverage of statistics applied to the social sciences makes it invaluable to a broad readership. As new sources and applications of data in every economic field are enabling economists to ask and answer new fundamental questions, this book presents an up-to-date reference on the topics at hand. Provides an historical outline of the two cliometric revolutions, highlighting the similarities and the differences between the two Surveys the issues and principal results of the second cliometric revolution Explores innovations in formulating hypotheses and statistical testing, relating them to wider trends in data-driven, empirical economics |
| economic data is used: The Age of Surveillance Capitalism Shoshana Zuboff, 2019-01-15 The challenges to humanity posed by the digital future, the first detailed examination of the unprecedented form of power called surveillance capitalism, and the quest by powerful corporations to predict and control our behavior. In this masterwork of original thinking and research, Shoshana Zuboff provides startling insights into the phenomenon that she has named surveillance capitalism. The stakes could not be higher: a global architecture of behavior modification threatens human nature in the twenty-first century just as industrial capitalism disfigured the natural world in the twentieth. Zuboff vividly brings to life the consequences as surveillance capitalism advances from Silicon Valley into every economic sector. Vast wealth and power are accumulated in ominous new behavioral futures markets, where predictions about our behavior are bought and sold, and the production of goods and services is subordinated to a new means of behavioral modification. The threat has shifted from a totalitarian Big Brother state to a ubiquitous digital architecture: a Big Other operating in the interests of surveillance capital. Here is the crucible of an unprecedented form of power marked by extreme concentrations of knowledge and free from democratic oversight. Zuboff's comprehensive and moving analysis lays bare the threats to twenty-first century society: a controlled hive of total connection that seduces with promises of total certainty for maximum profit -- at the expense of democracy, freedom, and our human future. With little resistance from law or society, surveillance capitalism is on the verge of dominating the social order and shaping the digital future -- if we let it. |
| economic data is used: This Time Is Different Carmen M. Reinhart, Kenneth S. Rogoff, 2011-08-07 An empirical investigation of financial crises during the last 800 years. |
| economic data is used: The Experience Economy B. Joseph Pine, James H. Gilmore, 1999 This text seeks to raise the curtain on competitive pricing strategies and asserts that businesses often miss their best opportunity for providing consumers with what they want - an experience. It presents a strategy for companies to script and stage the experiences provided by their products. |
| economic data is used: Principles Ray Dalio, 2018-08-07 #1 New York Times Bestseller “Significant...The book is both instructive and surprisingly moving.” —The New York Times Ray Dalio, one of the world’s most successful investors and entrepreneurs, shares the unconventional principles that he’s developed, refined, and used over the past forty years to create unique results in both life and business—and which any person or organization can adopt to help achieve their goals. In 1975, Ray Dalio founded an investment firm, Bridgewater Associates, out of his two-bedroom apartment in New York City. Forty years later, Bridgewater has made more money for its clients than any other hedge fund in history and grown into the fifth most important private company in the United States, according to Fortune magazine. Dalio himself has been named to Time magazine’s list of the 100 most influential people in the world. Along the way, Dalio discovered a set of unique principles that have led to Bridgewater’s exceptionally effective culture, which he describes as “an idea meritocracy that strives to achieve meaningful work and meaningful relationships through radical transparency.” It is these principles, and not anything special about Dalio—who grew up an ordinary kid in a middle-class Long Island neighborhood—that he believes are the reason behind his success. In Principles, Dalio shares what he’s learned over the course of his remarkable career. He argues that life, management, economics, and investing can all be systemized into rules and understood like machines. The book’s hundreds of practical lessons, which are built around his cornerstones of “radical truth” and “radical transparency,” include Dalio laying out the most effective ways for individuals and organizations to make decisions, approach challenges, and build strong teams. He also describes the innovative tools the firm uses to bring an idea meritocracy to life, such as creating “baseball cards” for all employees that distill their strengths and weaknesses, and employing computerized decision-making systems to make believability-weighted decisions. While the book brims with novel ideas for organizations and institutions, Principles also offers a clear, straightforward approach to decision-making that Dalio believes anyone can apply, no matter what they’re seeking to achieve. Here, from a man who has been called both “the Steve Jobs of investing” and “the philosopher king of the financial universe” (CIO magazine), is a rare opportunity to gain proven advice unlike anything you’ll find in the conventional business press. |
| economic data is used: Economic Data Fouad Sabry, 2024-04-07 What is Economic Data Economic data are data describing an actual economy, past or present. These are typically found in time-series form, that is, covering more than one time period or in cross-sectional data in one time period. Data may also be collected from surveys of for example individuals and firms or aggregated to sectors and industries of a single economy or for the international economy. A collection of such data in table form comprises a data set. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Economic data Chapter 2: Econometrics Chapter 3: International Monetary Fund Chapter 4: Developed country Chapter 5: Business cycle Chapter 6: Monetary economics Chapter 7: Economic statistics Chapter 8: Economic model Chapter 9: Macroeconomic model Chapter 10: Economic forecasting Chapter 11: National accounts Chapter 12: International economics Chapter 13: JEL classification codes Chapter 14: System of National Accounts Chapter 15: Economic methodology Chapter 16: International Encyclopedia of the Social & Behavioral Sciences Chapter 17: Methodology of econometrics Chapter 18: Edward E. Leamer Chapter 19: Economic efficiency Chapter 20: Agustín Maravall Chapter 21: Denise R. Osborn (II) Answering the public top questions about economic data. (III) Real world examples for the usage of economic data in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Economic Data. |
| economic data is used: Economic Analysis of the Digital Economy Avi Goldfarb, Shane M. Greenstein, Catherine Tucker, 2015-05-08 There is a small and growing literature that explores the impact of digitization in a variety of contexts, but its economic consequences, surprisingly, remain poorly understood. This volume aims to set the agenda for research in the economics of digitization, with each chapter identifying a promising area of research. Economics of Digitization identifies urgent topics with research already underway that warrant further exploration from economists. In addition to the growing importance of digitization itself, digital technologies have some features that suggest that many well-studied economic models may not apply and, indeed, so many aspects of the digital economy throw normal economics in a loop. Economics of Digitization will be one of the first to focus on the economic implications of digitization and to bring together leading scholars in the economics of digitization to explore emerging research. |
| economic data is used: The Fourth Industrial Revolution Klaus Schwab, 2017-01-03 World-renowned economist Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolution, which will fundamentally alter how we live and work. Schwab argues that this revolution is different in scale, scope and complexity from any that have come before. Characterized by a range of new technologies that are fusing the physical, digital and biological worlds, the developments are affecting all disciplines, economies, industries and governments, and even challenging ideas about what it means to be human. Artificial intelligence is already all around us, from supercomputers, drones and virtual assistants to 3D printing, DNA sequencing, smart thermostats, wearable sensors and microchips smaller than a grain of sand. But this is just the beginning: nanomaterials 200 times stronger than steel and a million times thinner than a strand of hair and the first transplant of a 3D printed liver are already in development. Imagine “smart factories” in which global systems of manufacturing are coordinated virtually, or implantable mobile phones made of biosynthetic materials. The fourth industrial revolution, says Schwab, is more significant, and its ramifications more profound, than in any prior period of human history. He outlines the key technologies driving this revolution and discusses the major impacts expected on government, business, civil society and individuals. Schwab also offers bold ideas on how to harness these changes and shape a better future—one in which technology empowers people rather than replaces them; progress serves society rather than disrupts it; and in which innovators respect moral and ethical boundaries rather than cross them. We all have the opportunity to contribute to developing new frameworks that advance progress. |
| economic data is used: Understanding Economic Data Susan Meyer, 2011-12-15 Discusses the different data economists use to determine the economic condition of the nation. |
| economic data is used: Trade and Economic Data United States. General Accounting Office, 1991 |
| economic data is used: Analyzing Financial and Economic Data with R Marcelo S Perlin, 2020-02-08 book introduces the reader to the use of R and RStudio as a platform for analyzing financial and economic data. The book covers all necessary knowledge for using R, from its installation in your computer to the organization and development of scripts. For every chapter, the book presents practical and replicable examples of R code, providing context and facilitating the learning process. This is what you'll learn from this book: Using R and RStudio: In chapter 01 we will discuss the use of R as a programming platform designed to solve data-related problems in finance and economics. In chapter 02 we will explore basic commands and many functionalities of R and RStudio that will increase your productivity. Importing financial and economic data: In chapters 04 and 05 we will learn to import data from local files, such as an Excel spreadsheet, or the internet, using specialized packages that can download financial and economic data such as stock prices, economic indices, the US yield curve, corporate financial statements, and many others. Cleaning, structuring and analyzing the data with R: In chapters 06 and 07 we will concentrate our study on the ecosystem of basic and advanced classes of objects within R. We will learn to manipulate objects such as numeric vectors, dates and whole tables. In chapters 08 and 09 we'll study to use the programming tools to solve data-related problems such as cleaning and structuring messy data. In chapter 11 we will learn applications of the most common econometric models used in finance and economics including linear regression, generalized linear model, Arima model and others. Creating visual analysis of data: In chapter 10 we'll learn to use functions from package ggplot2 to create clever visualizations of our datasets, including the most popular applications in finance and economics, time series and statistical plots. Reporting your results: In chapter 12 we will see how to report our data analysis using specialized packages and the RMarkdown technology. Includes the topic of presenting and exporting tables, figure and models to a written report. Writing better and faster code: In the last chapter of the book we discuss best programming practices with R. We will look at how to profile code and search for bottlenecks, and improving execution time with caching strategies using package memoise, C++ code with Rcpp and parallel computing with furrr. All the material used in the book, including code examples separated by chapters, slides and exercises is publicly available on the Internet and distributed with a R package called afedR. It includes data files and several functions that can make it easier to run the examples of the book. If you plan to write some code as you read the book, this package will greatly help your journey. This book is recommended for researchers and students interested in learning how to use R. No prior knowledge of programming, finance or economics is required to take advantage of this book. After finishing, the reader will have enough knowledge to develop their own scripts autonomously, producing academic documents or data analysis for public and private institutions. |
| economic data is used: Economics Rules Dani Rodrik, 2015 A leading economist trains a lens on his own discipline to uncover when it fails and when it works. |
| economic data is used: Getting Patents and Economic Data to Speak to Each Other: An “Algorithmic Links with Probabilities” Approach for Joint Analyses of Patenting and Economic Activity Travis J. Lybbert, Nikolas J. Zolas, World Intellectual Property Organization, In this paper, the authors describe and explore a new algorithmic approach to constructing concordances between the International Patent Classification (IPC) system and industry classification systems that organize economic data. This ‘Algorithmic Links with Probabilities’ (ALP) approach incorporates text analysis software and keyword extraction programs and applies them to a comprehensive patent dataset. The authors conclude with a discussion on some of the possible applications of the concordance and provide a sample analysis that uses their preferred ALP concordance to analyze international patent flows based on trade patterns. |
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Jan 7, 2025 · General economic slowdown, to a lesser extent, also remains top of mind and is expected to transform 42% of businesses. Inflation is predicted to have a mixed outlook for net …
Chief Economists Outlook: May 2025 | World Economic Forum
May 28, 2025 · The May 2025 Chief Economists Outlook explores key trends in the global economy, including the latest outlook for growth, inflation, monetary and fiscal policy. It …
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Dec 9, 2024 · The 2025 Annual Meeting of the World Economic Forum takes place from 20-24 January in Davos, Switzerland. The meeting convenes under the title Collaboration for the …
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The World Economic Forum
5 days ago · Learn about World Economic Forum's latest work and impact through the latest key messages on our Homepage.
5 economists on long-term economic trends | World Economic …
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