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.
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Robert C. Feenstra is professor in the Department of Economics at the University of California, Davis, where he also holds the C. Bryan Cameron Distinguished Chair in International Economics. He is director of the International Trade and Investment Program of the NBER.
Matthew D. Shapiro is the Lawrence R. Klein Collegiate Professor of Economics and director and research professor of the Survey Research Center, both at the University of Michigan, and a research associate of the National Bureau of Economic Research.
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Hardcover. Condition: Very Good. Dust Jacket Included. 1st Edition. x, 393 p. This book assesses both the promise and the challenges of using scanner data to produce economic statistics. Three chapters 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 chapters 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. Contents: Using scanner data to improve the quality of measurement in the Consumer Price Index / William J. Hawkes and Frank W. Piotrowski -- Scanner indexes for the Consumer Price Index / David H. Richardson -- Price collection and quality assurance of item sampling in the Retail Prices Index / David Fenwick . [et al.] -- Estimating price movements for consumer durables using electronic retail transactions data / Robin Lowe and Candace Ruscher -- High-frequency substitution and the measurement of price indexes / Robert C. Feenstra and Matthew D. Shapiro -- What can the price gap between branded and private-label products tell us about markups? / Robert Barsky . [et al.] -- Long shadow of patent expiration / Ernst R. Berndt, Margaret K. Kyle, and Davina C. Ling -- Measurement of quality-adjusted price changes / Mick Silver and Saeed Heravi -- Hedonic regressions / Erwin Diewert -- Price index estimation using price imputation for unsold items / Ralph Bradley. "This volume contains revised versions of most of the papers and discussion presented at the Conference on Research in Income and Wealth . held in Arlington, Virginia, on 15-16 September 2000." [B2:2:1]. Seller Inventory # 405443
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Hardcover. Condition: Very Good. Scanner Data & Price Indexes: Volume 64 (NBER - Studies in Income and Wealth) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Seller Inventory # 7719-9780226239651
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