Big Data for Twenty-First-Century Economic Statistics

Big Data for Twenty-First-Century Economic Statistics

Author: Katharine G. Abraham

Publisher: University of Chicago Press

Published: 2022-03-11

Total Pages: 502

ISBN-13: 022680125X

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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.


Consumer Information Systems and Relationship Management: Design, Implementation, and Use

Consumer Information Systems and Relationship Management: Design, Implementation, and Use

Author: Lin, Angela

Publisher: IGI Global

Published: 2013-05-31

Total Pages: 256

ISBN-13: 1466640839

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Businesses continue to design and implement a variety of information systems that facilitate the creation, aggregation, and provision of product-related information in order to increase the role that quality information is playing in consumers’ decision-making processes. Consumer Information Systems and Relationship Management: Design, Implementation, and Use highlights empirical research, theoretical frameworks, and relevant models on the understanding and implementation of consumer information systems. By covering consumer perceptions of practicality and ease of use, this book is essential for practitioners in business environments and strategic management, meeting consumer needs through the use of digital and Web-based technologies as well as recent empirical research findings and design and implementation of innovative information systems. This book is part of the Advances in Marketing, Customer Relationship Management, and E-Services series collection.


Health Care Price Transparency

Health Care Price Transparency

Author: U.s. Government Accountability Office

Publisher:

Published: 2017-08-15

Total Pages: 44

ISBN-13: 9781974558179

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"In recent years, consumers havebecome responsible for a growingproportion of the costs of their healthcare. Health care price information thatis transparent-available beforeconsumers receive care-may helpconsumers anticipate these costs.Research identifies meaningful typesof health care price information, suchas estimates of what the complete costwill be to the consumer for a service.GAO defines an estimate of aconsumer's complete health care costas price information on a service thatidentifies a consumer's out-of-pocketcost, including any negotiateddiscounts, and all costs associatedwith a service or services. GAOexamined (1) how various factorsaffect the availability of health careprice information for consumers and(2) the information selected public andprivate health care price transparencyinitiatives make available toconsumers. To do this work, GAOreviewed price transparency literature;interviewed experts; and examined atotal of eight selected federal, state,and private insurance company healthcare price transparency initiatives. Inaddition, GAO anonymously contactedproviders and requested the price ofselected services to gain a consumer'sperspective. "


Consumers and Food Price Inflation

Consumers and Food Price Inflation

Author: Randy Schnepf

Publisher: Createspace Independent Pub

Published: 2012-11-22

Total Pages: 38

ISBN-13: 9781481071215

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Record Midwest heat in June and July (2012) sparked the worst U.S. drought since 1956, causing damage to major field crops. This situation has contributed to record U.S. prices for corn and soybeans in both cash and futures markets in 2012, and has fanned the fears of food price inflation reminiscent of 2008. The heightened commodity price volatility of 2008 and the subsequent acceleration in U.S. food price inflation associated with commodity market shifts raised concerns and generated many questions about farm and food price movements by Members of Congress and their constituents. However, historical evidence suggests that retail prices for processed food products are driven more by consumer demand (strongly linked to general economic conditions), than by price changes in raw commodity markets, although this linkage varies with the degree of raw commodity content in the retail product. This report focuses instead on the nature and measurement of retail food price inflation and its relationship to consumers. During the 1991 to 2006 period, U.S. food prices were fairly stable—annual food price inflation, as measured by the Consumer Price Index (CPI) for all food (excluding alcoholic beverages), averaged a relatively low 2.5%. However, several economic factors emerged in late 2005 that began to gradually push market prices higher for both raw agricultural commodities and energy costs, and ultimately retail food prices. U.S. food price inflation increased at a rate of 4% in 2007 and at 5.5% in 2008—the highest since 1990 and well above the general inflation rate of 3.8%. The situation of sharply rising prices came to a sudden halt in late 2008 when the financial crisis hit U.S. markets leading to a severe economic recession. Annual food price inflation dropped to 1.8% in 2009 and 0.8% in 2010, before rising to 3.7% in 2011 driven by improving U.S. and global economic conditions. USDA projects that annual food price inflation will range from 2.5% to 3.5% in 2012 and rise to 3%-4% in 2013. The All-Food CPI has two components—food-at-home and food-away-from-home. The food-at home CPI is most representative of retail food prices and is significantly more volatile than the food-away-from-home index. The food-at-home CPI is projected in a range of 3% to 4% for 2013, compared with a 2.5% to 3.5% annual inflation rate for food-away-from home prices. This difference is partially explained by the larger share of farm products in the final price of retail foods than in food-away-from home. Farm product prices are, in general, substantially more volatile than the other marketing and processing costs that enter into retail or ready-to-eat foods. Many wages and salaries, as well as federal programs (including several domestic food assistance programs), are linked to price inflation through escalation clauses in order to retain consumer purchasing power. For households where income and federal benefits do not keep up with price inflation, declines in purchasing power are real and immediate. However, even for households with escalation clauses, a time lag usually occurs between the time the price inflation is measured and the time when the wage or program benefit is adjusted upward to compensate. The 2008-2009 global economic crisis—which involved higher retail prices and unemployment, income loss, and lower effective household purchasing power—resulted in higher participation rates in the federal food and nutrition programs since then. As a result, USDA's food and nutrition assistance programs have seen a tremendous expansion in use—federal expenditures totaled $103.3 billion in FY2011 and marked the 11th consecutive year in which food and nutrition assistance expenditures exceeded the previous historical record. Since FY2000, expenditures for food and nutrition assistance have more than tripled.


Consumer Demand in the United States

Consumer Demand in the United States

Author: Lester D. Taylor

Publisher: Springer Science & Business Media

Published: 2009-11-25

Total Pages: 530

ISBN-13: 1441905103

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A classic treatise that defined the field of applied demand analysis, Consumer Demand in the United States: Prices, Income, and Consumption Behavior is now fully updated and expanded for a new generation. Consumption expenditures by households in the United States account for about 70% of America’s GDP. The primary focus in this book is on how households adjust these expenditures in response to changes in price and income. Econometric estimates of price and income elasticities are obtained for an exhaustive array of goods and services using data from surveys conducted by the Bureau of Labor Statistics and aggregate consumption expenditures from the National Income and Product Accounts, providing a better understanding of consumer demand. Practical models for forecasting future price and income elasticities are also demonstrated. Fully revised with over a dozen new chapters and appendices, the book revisits the original Houthakker-Taylor models while examining new material as well, such as the use of quantile regression and the stationarity of consumer preference. It also explores the emerging connection between neuroscience and consumer behavior, integrating the economic literature on demand theory with psychology literature. The most comprehensive treatment of the topic to date, this volume will be an essential resource for any researcher, student or professional economist working on consumer behavior or demand theory, as well as investors and policymakers concerned with the impact of economic fluctuations.