An Experimental Component Index for the CPI: From Annual Computer Data to Monthly Data on Other Goods

Timothy Erickson, Ariel Pakes

NBER Working Paper No. 14368
Issued in September 2008
NBER Program(s):Industrial Organization, Productivity, Innovation, and Entrepreneurship

Until recently the Consumer Price Index consisted solely of "matched model" component indexes. The latter are constructed by BLS personnel who visit stores and compare prices of goods with the same set of characteristics over successive periods. This procedure is subject to a selection bias. Goods that were not on the shelves in the second period were discarded and hence never contributed price comparisons. The discarded goods were disproportionately goods which were being obsoleted and had falling prices. Pakes (2003) provided an analytic framework for analyzing this selection effect and showed both that it could be partially corrected using a particular hedonic technique and that the correction for his personal computer example was substantial. The BLS staff has recently increased the rate at which they incorporate techniques to correct for selection effects in their component indexes. However recent work shows very little difference between hedonic and matched model indices for non computer components of the CPI. This paper explores why.

We look carefully at the data on the component index for TVs and show that differences between the TV and computer markets imply that to obtain an effective selection correction we need to use a more general hedonic procedure than has been used to date. The computer market is special in having well defined cardinal measures of the major product characteristics. In markets where such measures are absent we may need to allow for selection on unmeasured, as well as measured, characteristics. We develop a hedonic selection correction that accounts for unmeasured characteristics, apply it to TVs, and show that it yields a much larger selection correction than the standard hedonic. In particular we find that matched model techniques underestimate the rate of price decline by over 20%.

download in pdf format
   (278 K)

email paper

Machine-readable bibliographic record - MARC, RIS, BibTeX

Document Object Identifier (DOI): 10.3386/w14368

Published: Pakes A, Erickson T. An Experimental Component Index for the CPI: From Annual Computer Data to Monthly Data on Other Goods. American Economic Review. 2011;101(5):1707-1738. citation courtesy of

Users who downloaded this paper also downloaded* these:
Ariga and Matsui w9436 Mismeasurement of the CPI
Charles and Stephens Jr. w8578 Job Displacement, Disability, and Divorce
Gruber and Cullen w5608 Spousal Labor Supply as Insurance: Does Unemployment Insurance Crowd Outthe Added Worker Effect?
Pakes w8715 A Reconsideration of Hedonic Price Indices with an Application to PC's
Furman and Stern w12523 Climbing Atop the Shoulders of Giants: The Impact of Institutions on Cumulative Research
NBER Videos

National Bureau of Economic Research, 1050 Massachusetts Ave., Cambridge, MA 02138; 617-868-3900; email:

Contact Us