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Scanner Data and Price Indexes$
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Robert C. Feenstra and Matthew D. Shapiro

Print publication date: 2002

Print ISBN-13: 9780226239651

Published to Chicago Scholarship Online: February 2013

DOI: 10.7208/chicago/9780226239668.001.0001

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PRINTED FROM CHICAGO SCHOLARSHIP ONLINE (www.chicago.universitypressscholarship.com). (c) Copyright University of Chicago Press, 2022. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in CHSO for personal use.date: 26 May 2022

Estimating Price Movements for Consumer Durables Using Electronic Retail Transactions Data

Estimating Price Movements for Consumer Durables Using Electronic Retail Transactions Data

Chapter:
(p.89) 4 Estimating Price Movements for Consumer Durables Using Electronic Retail Transactions Data
Source:
Scanner Data and Price Indexes
Author(s):

Robin Lowe

Candace Ruscher

Publisher:
University of Chicago Press
DOI:10.7208/chicago/9780226239668.003.0005

This chapter compares the existing treatment for quality adjustment and sample maintenance for televisions in the Canadian Consumer Price Index (CPI) with what might be feasible using scanner data. Televisions exhibit relatively uncommon price behavior. If prices generally are rising, the stretch-link method will tend to keep the index down, and if they are falling it will tend to keep it up. Prices for 20-inch TVs have fallen substantially less than prices for 27-inch TVs. The cost savings in using scanner data are the field expenses currently incurred in collecting data and the processing and editing costs. Any method that depends on using all scanner data requires an increase in resources or a simpler approach. Yet, there are challenging questions to answer referring to the choice of data to be included in the calculations, how to group together different products, and how to describe them.

Keywords:   televisions, Canadian Consumer Price Index, scanner data, cost savings

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