Download or read book The Use of Scanner Data for Economics Research written by Pierre Dubois and published by . This book was released on 2022 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt: The adoption of barcode scanning technology in the 1970's gave rise to a new form of data; scanner data. Soon afterwards researchers began using this new resource, and since then a large number of papers have exploited scanner data. The data provide detailed price, quantity and product characteristic information for completely disaggregate products at high frequency and typically either track a panel of stores and/or consumers. Their availability has led to advances, inter alia, in the study of consumer demand, the measurement of market power, firms' strategic interactions and decision-making, the evaluation of policy reforms, and the measurement of price dispersion and inflation. In this article we highlight some of the pro and cons of this data source, and discuss some of the ways its availability to researchers has transformed the economics literature.

Download or read book Using Scanner Data for Food Policy Research written by Mary K. Muth and published by Academic Press. This book was released on 2019-10-12 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using Scanner Data for Food Policy Research is a practitioners’ guide to using and interpreting scanner data obtained from stores and households in policy research. It provides practical advice for using the data and interpreting their results. It helps the reader address key methodological issues such as aggregation, constructing price indices, and matching the data to nutrient values. It demonstrates some of the key econometric and statistical applications of the data, including estimating demand systems for policy simulation, analyzing effects of food access on food choices, and conducting cost-benefit analysis of food policies. This guide is intended for early-career researchers, particularly those working with scanner data in agricultural and food economics, nutrition, and public health contexts. Describe different types of scanner data, the types of information available in the data, and the vendors that offer these data Describe food-label data that can be appended to scanner data Identify key questions that researchers should consider when acquiring scanner and label data for food policy research Demonstrate how to use scanner data using tools from econometric and statistical analyses, including the limitations in interpreting results using the data Describe and resolve key methodological issues related to using the data to facilitate more rapid analyses Provide an overview of published literature as background for designing new studies Demonstrate key applications of the data for food policy research

Download or read book Scanner Data and Price Indexes written by Robert C. Feenstra and published by University of Chicago Press. This book was released on 2007-11-01 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every time you buy a can of tuna or a new television, its bar code is scanned to record its price and other information. These "scanner data" offer a number of attractive features for economists and statisticians, because they are collected continuously, are available quickly, and record prices for all items sold, not just a statistical sample. But scanner data also present a number of difficulties for current statistical systems. Scanner Data and Price Indexes assesses both the promise and the challenges of using scanner data to produce economic statistics. Three papers present the results of work in progress at statistical agencies in the U.S., United Kingdom, and Canada, including a project at the U.S. Bureau of Labor Statistics to investigate the feasibility of incorporating scanner data into the monthly Consumer Price Index. Other papers demonstrate the enormous potential of using scanner data to test economic theories and estimate the parameters of economic models, and provide solutions for some of the problems that arise when using scanner data, such as dealing with missing data.

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 Scanner Data and Price Indexes written by Robert C. Feenstra and published by University of Chicago Press. This book was released on 2002-02-01 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every time you buy a can of tuna or a new television, its bar code is scanned to record its price and other information. These "scanner data" offer a number of attractive features for economists and statisticians, because they are collected continuously, are available quickly, and record prices for all items sold, not just a statistical sample. But scanner data also present a number of difficulties for current statistical systems. Scanner Data and Price Indexes assesses both the promise and the challenges of using scanner data to produce economic statistics. Three papers present the results of work in progress at statistical agencies in the U.S., United Kingdom, and Canada, including a project at the U.S. Bureau of Labor Statistics to investigate the feasibility of incorporating scanner data into the monthly Consumer Price Index. Other papers demonstrate the enormous potential of using scanner data to test economic theories and estimate the parameters of economic models, and provide solutions for some of the problems that arise when using scanner data, such as dealing with missing data.

Download or read book Opportunities and Challenges written by Serena Ng and published by . This book was released on 2017 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper seeks to better understand what makes big data analysis different, what we can and cannot do with existing econometric tools, and what issues need to be dealt with in order to work with the data efficiently. As a case study, I set out to extract any business cycle information that might exist in four terabytes of weekly scanner data. The main challenge is to handle the volume, variety, and characteristics of the data within the constraints of our computing environment. Scalable and efficient algorithms are available to ease the computation burden, but they often have unknown statistical properties and are not designed for the purpose of efficient estimation or optimal inference. As well, economic data have unique characteristics that generic algorithms may not accommodate. There is a need for computationally efficient econometric methods as big data is likely here to stay.

Download or read book Consumer Price Index Manual written by International Labour Office and published by International Labour Organization. This book was released on 2004-08-25 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: The consumer price index (CPI) measures the rate at which prices of consumer goods and services change over time. It is used as a key indicator of economic performance, as well as in the setting of monetary and socio-economic policy such as indexation of wages and social security benefits, purchasing power parities and inflation measures. This manual contains methodological guidelines for statistical offices and other agencies responsible for constructing and calculating CPIs, and also examines underlying economic and statistical concepts involved. Topics covered include: expenditure weights, sampling, price collection, quality adjustment, sampling, price indices calculations, errors and bias, organisation and management, dissemination, index number theory, durables and user costs.

Download or read book Economic Analysis of Product Innovation written by Manuel Trajtenberg and published by Harvard University Press. This book was released on 1990 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most striking features of contemporary industrial economies is their ability to offer an ever-expanding and improving range of products. Personal computers, tiny pacemakers, digital watches, and VCRs simply did not exist, and were not even dreamt of, only a few decades ago. Such product innovations play an increasingly important role in modern economic growth, and it is therefore imperative that economists come to grips with them, just as they have done with traditional economic phenomena. In this skillfully crafted and imaginative study, Manuel Trajtenberg develops the tools to quantify and analyze the notion of product innovation. He argues persuasively that the magnitude of an innovation should be equated with the social benefits that it generates. Drawing from the "characteristics approach" to demand theory and the econometrics of discrete choice, he presents an ingenious method to estimate the benefits from product innovations that accrue to the consumer over time. His method centers on consumer preferences for different product attributes -such as speed and size of memory in computers-and then uses those preferences to evaluate the changes in attributes. Trajtenberg applies his approach to the study of one of the most remarkable innovations in medical technology--Computed Tomography (CT) scanners. He assembled for that purpose an impressive set of data on every aspect of the new technology, from qualities and prices, patents and research, to details on virtually every sale in the United States during the decade following the introduction of CT in 1973. This close-up view of an innovation, quite rare in economic literature, offers valuable insights on the nature of the innovative process, the interaction between innovation and diffusion, the effects of uncertainty about quality, and the implications of changing preferences.

Download or read book Improving the Measurement of Consumer Expenditures written by Christopher D. Carroll and published by University of Chicago Press. This book was released on 2015-06-16 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust and reliable measures of consumer expenditures are essential for analyzing aggregate economic activity and for measuring differences in household circumstances. Many countries, including the United States, are embarking on ambitious projects to redesign surveys of consumer expenditures, with the goal of better capturing economic heterogeneity. This is an appropriate time to examine the way consumer expenditures are currently measured, and the challenges and opportunities that alternative approaches might present. Improving the Measurement of Consumer Expenditures begins with a comprehensive review of current methodologies for collecting consumer expenditure data. Subsequent chapters highlight the range of different objectives that expenditure surveys may satisfy, compare the data available from consumer expenditure surveys with that available from other sources, and describe how the United States’s current survey practices compare with those in other nations.

Download or read book Comparing Scanner Data with Traditional Store Audit Data written by Eijte W. Foekens and published by . This book was released on 1991 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Potential Use of In home Scanner Technology for Budget Surveys written by Andrew Leicester and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper considers the potential role of in-home scanners as a method of data collection for national budget surveys such as the Consumer Expenditure Survey. A detailed comparison is made between scanner data and diary-based budget survey data for food at home in the UK. Levels of recorded spending are lower in scanner data for all commodities, but patterns of spending are similar. A large part of the difference is explained by households in the scanner survey failing to record any food spending in a given week. The gaps are widened once demographic differences between the surveys are controlled for. There is clear evidence that short-term diaries do not accurately capture household food spending patterns given infrequency of purchase for some commodity groups. Conditional on store choice, demographics play little role in explaining food spending patterns in scanner data. This suggests that attempts to impute detailed spending patterns from aggregate store-level spending would be difficult.

Download or read book Innovations in Federal Statistics written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2017-04-21 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: Federal government statistics provide critical information to the country and serve a key role in a democracy. For decades, sample surveys with instruments carefully designed for particular data needs have been one of the primary methods for collecting data for federal statistics. However, the costs of conducting such surveys have been increasing while response rates have been declining, and many surveys are not able to fulfill growing demands for more timely information and for more detailed information at state and local levels. Innovations in Federal Statistics examines the opportunities and risks of using government administrative and private sector data sources to foster a paradigm shift in federal statistical programs that would combine diverse data sources in a secure manner to enhance federal statistics. This first publication of a two-part series discusses the challenges faced by the federal statistical system and the foundational elements needed for a new paradigm.

Download or read book A Research Agenda for Making Scanner Data More Useful to Managers written by Scott A. Neslin and published by . This book was released on 1994 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Improving Data to Analyze Food and Nutrition Policies written by National Research Council and published by National Academies Press. This book was released on 2005-11-18 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Several changes in the United States over the past two decades have implications for diet, nutrition, and food safety, including patterns of food consumption that have produced an increase in overweight and obese Americans and threats to food safety from pathogens and bioterrorism. The changes raise a number of critical policy and research questions: How do differences in food prices and availability or in households' time resources for shopping and food preparation affect what people consume and where they eat? How do factors outside of the household, such as the availability of stores and restaurants, food preparation technology, and food marketing and labeling policies, affect what people are consuming? What effects have food assistance programs had on the nutritional quality of diets and the health of those served by the programs? Where do people buy and consume food and how does food preparation affect food safety? To address these and related questions, the Economic Research Service (ERS) of the U.S. Department of Agriculture (USDA) asked the Committee on National Statistics to convene a panel of experts to provide advice for improving the data infrastructure on food consumption and nutrition. The panel was charged to review data needs to support research and decision making for food and nutrition policies and programs in USDA and to assess the adequacy of the current data infrastructure and recommend enhancements to improve it. The primary basis for the panel's deliberations, given limited resources, was a workshop on Enhancing the Data Infrastructure in Support of Food and Nutrition Programs, Research, and Decision Making, which the panel convened on May 27-28, 2004. This report is based on the discussions at the workshop and the deliberations of the panel. The report outlines key data that are needed to better address questions related to food consumption, diet, and health; discusses the available data and some limitations of those data; and offers recommendations for improvements in those data. The panel was charged to consider USDA data needs for policy making and the focus of the report is on those needs.

Download or read book Handbook on the Economics of Retailing and Distribution written by Emek Basker and published by Edward Elgar Publishing. This book was released on 2016-01-29 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Handbook explores and critically examines current research in economics and marketing science on key issues in retailing and distribution. Providing a rich perspective for the discussion of public policy, contributions from several disciplines and continents range from the history of chains and the impact of multinational retailers on international trade patterns to US merger policy in the retail context, the rise of the Internet, and consumer-to-consumer sales. The chapters address methodological issues such as the structural estimation of entry games between retailers, productivity measurement when both inputs and output are not fully observable, and demand estimation with variable assortment. Policy issues explored include mergers, zoning, and the regulation of buyer power, while other chapters address some of the recent exciting developments in technology, retail formats, and data availability. The book goes on to study the changes in online retailing and ‘big data’, and to examine competition in specific retail sectors including gasoline stations, automobile dealerships, supermarkets, and ‘big box’ retail. This state-of-the-art Handbook is an essential reference for students and academics of economics and marketing science, and offers an outsider’s perspective to specialists in operations research, data analytics, geography, and sociology.

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: The papers in this volume analyze the deployment of Big Data to solve both existing and novel challenges in economic measurement. The existing infrastructure for the production of key economic statistics relies heavily on data collected through sample surveys and periodic censuses, together with administrative records generated in connection with tax administration. The increasing difficulty of obtaining survey and census responses threatens the viability of existing data collection approaches. The growing availability of new sources of Big Data—such as scanner data on purchases, credit card transaction records, payroll information, and prices of various goods scraped from the websites of online sellers—has changed the data landscape. These new sources of data hold the promise of allowing the statistical agencies to produce more accurate, more disaggregated, and more timely economic data to meet the needs of policymakers and other data users. This volume documents progress made toward that goal and the challenges to be overcome to realize the full potential of Big Data in the production of economic statistics. It describes the deployment of Big Data to solve both existing and novel challenges in economic measurement, and it will be of interest to statistical agency staff, academic researchers, and serious users of economic statistics.

Download or read book Price Index Concepts and Measurement written by W. Erwin Diewert and published by University of Chicago Press. This book was released on 2010-02-15 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although inflation is much feared for its negative effects on the economy, how to measure it is a matter of considerable debate that has important implications for interest rates, monetary supply, and investment and spending decisions. Underlying many of these issues is the concept of the Cost-of-Living Index (COLI) and its controversial role as the methodological foundation for the Consumer Price Index (CPI). Price Index Concepts and Measurements brings together leading experts to address the many questions involved in conceptualizing and measuring inflation. They evaluate the accuracy of COLI, a Cost-of-Goods Index, and a variety of other methodological frameworks as the bases for consumer price construction.