Download or read book Big Data for Twenty First Century Economic Statistics written by Katharine G. Abraham and published by University of Chicago Press. This book was released on 2022-03-11 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Global Findex Database 2017 written by Asli Demirguc-Kunt and published by World Bank Publications. This book was released on 2018-04-19 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Secrets of Economic Indicators written by Bernard Baumohl and published by Financial Times/Prentice Hall. This book was released on 2005 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Handbook of Key Economic Indicators written by R. Mark Rogers and published by McGraw Hill Professional. This book was released on 1998 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book State Data Book written by United States. Rehabilitation Services Administration. Division of Monitoring and Program Analysis. Statistical Analysis and Systems Branch and published by . This book was released on 1972 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Data Analysis for Business Economics and Policy written by Gábor Békés and published by Cambridge University Press. This book was released on 2021-05-06 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.

Download or read book Understanding Economic Data written by Susan Meyer and published by The Rosen Publishing Group, Inc. This book was released on 2011-12-15 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discusses the different data economists use to determine the economic condition of the nation.

Download or read book Understanding China s Economic Indicators written by Thomas Orlik and published by Pearson Education. This book was released on 2011-07-07 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Understanding China’s Economic Indicators, leading economist and Wall Street Journal columnist Thomas M. Orlik introduces 35 of China's most significant economic statistics. Orlik explains why each indicator matters, how it is collected and computed, and its impact on equity, commodity, and currency markets. As China has emerged as a central player in the global economy, more and more investors are seeking profitable opportunities there. To choose the right investments, it's crucial to understand China's economic environment–and that means finding, interpreting, and utilizing China's growing base of economic indicators. Orlik helps investors make sense of data on everything from Chinese GDP growth to inflation, unemployment, bond yields, electricity production, and aircraft passenger numbers. He draws on the best information supplied by the Chinese government's statistical agency, ministries, and industry associations, as well as private sources. Each indicator is clearly described, along with a practical discussion of its implications for investors.

Download or read book Data Science for Economics and Finance written by Sergio Consoli and published by Springer Nature. This book was released on 2021 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.

Download or read book Economic Indicators for Professionals written by Charles Steindel and published by Routledge. This book was released on 2018-08-15 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Interpreting Economic and Social Data written by Othmar W. Winkler and published by Springer Science & Business Media. This book was released on 2009-08-12 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Interpreting Economic and Social Data" aims at rehabilitating the descriptive function of socio-economic statistics, bridging the gap between today's statistical theory on one hand, and econometric and mathematical models of society on the other. It does this by offering a deeper understanding of data and methods with surprising insights, the result of the author's six decades of teaching, consulting and involvement in statistical surveys. The author challenges many preconceptions about aggregation, time series, index numbers, frequency distributions, regression analysis and probability, nudging statistical theory in a different direction. "Interpreting Economic and Social Data" also links statistics with other quantitative fields like accounting and geography. This book is aimed at students and professors in business, economics demographic and social science courses, and in general, at users of socio-economic data, requiring only an acquaintance with elementary statistical theory.

Download or read book Building the New Economy written by Alex Pentland and published by MIT Press. This book was released on 2021-10-12 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to empower people and communities with user-centric data ownership, transparent and accountable algorithms, and secure digital transaction systems. Data is now central to the economy, government, and health systems—so why are data and the AI systems that interpret the data in the hands of so few people? Building the New Economy calls for us to reinvent the ways that data and artificial intelligence are used in civic and government systems. Arguing that we need to think about data as a new type of capital, the authors show that the use of data trusts and distributed ledgers can empower people and communities with user-centric data ownership, transparent and accountable algorithms, machine learning fairness principles and methodologies, and secure digital transaction systems. It’s well known that social media generate disinformation and that mobile phone tracking apps threaten privacy. But these same technologies may also enable the creation of more agile systems in which power and decision-making are distributed among stakeholders rather than concentrated in a few hands. Offering both big ideas and detailed blueprints, the authors describe such key building blocks as data cooperatives, tokenized funding mechanisms, and tradecoin architecture. They also discuss technical issues, including how to build an ecosystem of trusted data, the implementation of digital currencies, and interoperability, and consider the evolution of computational law systems.

Download or read book The Trader s Guide to Key Economic Indicators written by Richard Yamarone and published by John Wiley & Sons. This book was released on 2012-06-26 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Time the Markets written by Charles D. Kirkpatrick and published by FT Press. This book was released on 2012 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Competition Data and Privacy in the Digital Economy written by Maria Wasastjerna and published by Kluwer Law International B.V.. This book was released on 2020-07-16 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasingly, we conduct our lives online, and in doing so, we grant access to our personal information. The crucial feedstock of the world economy thus generated - the commercialization and exploitation of personal data and the intrusion of digital privacy it entails - has built an imposing edifice of market power. As we enter the third decade of the 21st century, this detailed exploration of the interlinkage between competition and data privacy takes a critical look at competition policy to evaluate whether the system in its current form and with the existing approach is capable of tackling the challenges raised by the role of personal data in the shift from an offline to an online economy. Challenging the commonplace assumption that privacy has little or no role and relevance in competition law, the author’s penetrating analysis accomplishes the following and more: provides an in-depth understanding of the intersection of competition and privacy in the data-driven economy; surveys legal policy developments on the role of privacy in competition law; underlines the importance of non-price parameters in competition, such as consumer choice; clearly explains why and how competition law can protect privacy among its policy objectives; and addresses challenges in measuring the intangible harm of digital privacy violation in assessing abuse of market power. Recent case law in Europe and elsewhere, a revealing comparison between relevant European Union (EU) and United States (US) practice, the expanded role of the EU’s Competition Commissioner, and the likely impact of such phenomena as the coronavirus pandemic are all drawn into the book’s remit. In her analysis of the growing privacy dimension in competition policy, the author examines the topic from a broad perspective that includes societal, political, economic, historical and cultural elements. Her insightful multidimensional and value-based review will prove of immeasurable value to practitioners, academics, policymakers and enforcers in its identification of implications for business practice as we go forward.

Download or read book The Data Industry written by Chunlei Tang and published by John Wiley & Sons. This book was released on 2016-06-13 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an introduction of the data industry to the field of economics This book bridges the gap between economics and data science to help data scientists understand the economics of big data, and enable economists to analyze the data industry. It begins by explaining data resources and introduces the data asset. This book defines a data industry chain, enumerates data enterprises’ business models versus operating models, and proposes a mode of industrial development for the data industry. The author describes five types of enterprise agglomerations, and multiple industrial cluster effects. A discussion on the establishment and development of data industry related laws and regulations is provided. In addition, this book discusses several scenarios on how to convert data driving forces into productivity that can then serve society. This book is designed to serve as a reference and training guide for ata scientists, data-oriented managers and executives, entrepreneurs, scholars, and government employees. Defines and develops the concept of a “Data Industry,” and explains the economics of data to data scientists and statisticians Includes numerous case studies and examples from a variety of industries and disciplines Serves as a useful guide for practitioners and entrepreneurs in the business of data technology The Data Industry: The Business and Economics of Information and Big Data is a resource for practitioners in the data science industry, government, and students in economics, business, and statistics. CHUNLEI TANG, Ph.D., is a research fellow at Harvard University. She is the co-founder of Fudan’s Institute for Data Industry and proposed the concept of the “data industry”. She received a Ph.D. in Computer and Software Theory in 2012 and a Master of Software Engineering in 2006 from Fudan University, Shanghai, China.

Download or read book OECD Economic Outlook written by and published by . This book was released on 1974 with total page 1046 pages. Available in PDF, EPUB and Kindle. Book excerpt: