Download PDF by Robert C. Feenstra, Matthew D. Shapiro: Scanner Data and Price Indexes (National Bureau of Economic

By Robert C. Feenstra, Matthew D. Shapiro

ISBN-10: 0226239659

ISBN-13: 9780226239651

ISBN-10: 0226239667

ISBN-13: 9780226239668

Whenever you purchase a can of tuna or a brand new tv, its bar code is scanned to checklist its expense and different details. those "scanner facts" provide a few appealing positive aspects for economists and statisticians, simply because they're accrued consistently, can be found fast, and list costs for all goods offered, not only a statistical pattern. yet scanner info additionally current a few problems for present statistical systems.Scanner facts and value Indexes assesses either the promise and the demanding situations of utilizing scanner facts to provide financial records. 3 papers current the result of paintings in development at statistical organisations within the united states, uk, and Canada, together with a venture on the U.S. Bureau of work statistics to enquire the feasibility of incorporating scanner facts into the per month shopper fee Index. different papers show the big strength of utilizing scanner info to check fiscal theories and estimate the parameters of financial types, and supply options for a few of the difficulties that come up whilst utilizing scanner facts, akin to facing lacking information.

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Extra info for Scanner Data and Price Indexes (National Bureau of Economic Research Studies in Income and Wealth)

Example text

A. = not applicable. 0410 34 William J. Hawkes and Frank W. 9 CPI Geomean. S. Bureau of Labor Statistics Research Paper, 1997). S. unit value price for the ith item with sales in both 1998 and 1999. E 98 i S 98 and E ϭ pi qiϭ price ϫ quantity for the item i ϭ ᎏᎏ, E ∑ 98i ΂ ΃ p9i 9 ScanTrack Törnqvist ϭ ͟ ᎏ9ᎏ8 pi i ϩS 99 )/2 (S 98 i i 98 Where S 99 i is defined as for S i , above. 11 Here I have borrowed the notation of Diewert (2000b). ΂ ΃΂ ΃ 12 1 Carli: PC ( p 0n, p tn ) ϵ ∑ ᎏᎏ 1 2 mϭ1 pnt, m ᎏ0ᎏ ; pn , m n ϭ 1, .

Hawkes and Frank W. Piotrowski was increased, by 1 full percent, by the appearance in the market of two new “luxury” brands that could not have been included in the CPI “average price” series in 1999 because of the delay from the time that a new item comes into the marketplace to the time that it has a chance of selection in the CPI. ” We now see that new items can raise average price levels as well as lower them. Other recent examples of this phenomenon are “boutique brewery” brands of beer and “gourmet” brands of coffee.

Frisch, R. 1930. The problem of index numbers. Journal of the American Statistical Association 25 (December): 397–406. Greenlees, J. S. 2000. Consumer price indexes: Methods for quality and variety change. Statistical Journal of the United Nations 17:59–74. Haan, J. de, and E. Opperdoes. 1997. Estimation of the coffee price index using scanner data: The choice of the micro index. In Proceedings of the third meeting of the International Working Group on Price Indices, ed. Bert Balk, 191–202. Research Paper no.

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Scanner Data and Price Indexes (National Bureau of Economic Research Studies in Income and Wealth) by Robert C. Feenstra, Matthew D. Shapiro

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