Economics In Real Time

A new model for contemporary economic behavior

An accessible, thoroughly engaging look at how the economy really works and its role in your everyday life Not surprisingly, regular people suddenly are paying a lot closer attention to the economy than ever before. But economics, with its weird technical jargon and knotty concepts and formulas can be a very difficult subject to get to grips with on your own. Enter Greg Ip and his Little Book of Economics. Like a patient, good-natured tutor, Greg, one of today's most respected economics journalists, walks you through everything you need to know about how the economy works. Short on technical jargon and long on clear, concise, plain-English explanations of important terms, concepts, events, historical figures and major players, this revised and updated edition of Greg's bestselling guide clues you in on what's really going on, what it means to you and what we should be demanding our policymakers do about the economy going forward. From inflation to the Federal Reserve, taxes to the budget deficit, you get indispensible insights into everything that really matters about economics and its impact on everyday life Special sections featuring additional resources of every subject discussed and where to find additional information to help you learn more about an issue and keep track of ongoing developments Offers priceless insights into the roots of America's economic crisis and its aftermath, especially the role played by excessive greed and risk-taking, and what can be done to avoid another economic cataclysm Digs into globalization, the roots of the Euro crisis, the sources of China's spectacular growth, and why the gap between the economy's winners and losers keeps widening

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.

This SPR Departmental Paper will provide policymakers with a framework for studying changes to national data policy frameworks.

Policymakers and business practitioners are eager to gain access to reliable information on the state of the economy for timely decision making. More so now than ever. Traditional economic indicators have been criticized for delayed reporting, out-of-date methodology, and neglecting some aspects of the economy. Recent advances in economic theory, econometrics, and information technology have fueled research in building broader, more accurate, and higher-frequency economic indicators. This volume contains contributions from a group of prominent economists who address alternative economic indicators, including indicators in the financial market, indicators for business cycles, and indicators of economic uncertainty.

Historical, theoretical, and real time in economics.

Austrian Economics Re-examined: The Economics of Time and Ignorance is an expanded version of the 1996 edition of The Economics of Time and Ignorance. This work is a classic statement of the role of subjectivism, radical uncertainty and change through real time in Austrian economics specifically, and in modern economics more generally. The new book contains the full text and Introductions of the earlier edition as well as the comprehensive previously-unpublished essay "What is Austrian Economics?" and a new Introduction. The essay is a comprehensive overview of the central themes of the book from a somewhat different perspective than in the book itself. It supplements the analysis in the book. The new Introduction explains that the 2007-8 financial crisis and recent developments in behavioural economics have made the book more relevant than ever before. Austrian Economic Re-examined develops and systematizes the fundamental principles of the Austrian tradition to the analysis of rational expectations, business cycles, monetary theory competition and monopoly, and capital theory. The Open Access version of this book, available at https://www.taylorfrancis.com/books/oa-edit/10.4324/9781315776736, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

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.