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.

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Detalles bibliogr�ficos

T�tulo: Scanner Data & Price Indexes: Volume 64 (NBER - Studies in Income and Wealth)
Editor: -
Fecha de publicaci�n: 2002
Idioma: Ingl�s
ISBN 10: 0226239659
ISBN 13: 9780226239651
Encuadernaci�n: Hardcover
Estado: Very Good

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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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