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].

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Detalles bibliogr�ficos

T�tulo: Scanner Data and Price Indexes (National Bureau of Economic Research Studies in Income and Wealth ; Vol. 64)
Editor: University of Chicago Press
Fecha de publicaci�n: 2003
Idioma: Ingl�s
ISBN 10: 0226239659
ISBN 13: 9780226239651
Encuadernaci�n: Hardcover
Edici�n: 1st Edition
Estado: Very Good
Estado de la sobrecubierta: Dust Jacket Included

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Sinopsis

The data from bar-code scanners offers 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 sample. But scanner data also presents a number of difficulties for current statistical systems. This book 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 US, UK and Canada, including a project to incorporate scanner data into the monthly Consumer Price Index. Other papers demonstrate the potential of using scanner data to test economic theories.

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Robert C. Feenstra is professor of economics at the University of California, Davis, and director of the program in international trade and investment at the NBER. Matthew D. Shapiro is professor of economics at the University of Michigan and a research associate of the NBER.

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