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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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Hedonic Regressions: A Consumer Theory Approach

Hedonic Regressions: A Consumer Theory Approach

Chapter:
(p.317) 10 Hedonic Regressions: A Consumer Theory Approach
Source:
Scanner Data and Price Indexes
Author(s):

Erwin Diewert

Publisher:
University of Chicago Press
DOI:10.7208/chicago/9780226239668.003.0012

This chapter evaluates the foundations of hedonic price adjustment. It demonstrates how simple linear models are hard to justify with economic theory, and that the traditional practice of statistical agencies replicates exact hedonics under some circumstances. The three most ordinarily employed functional forms in the hedonic regression literature are the log-log, the semilog, and the linear. None of the three hedonic regression models presented totally dominates the remaining two models. Each of the three models has two favorable characteristics and one unfavorable characteristic. It is noted that the new indexes do not discard any relevant price and quantity information and hence can be more “accurate” in some sense. The estimates of aggregate price change in the hedonic commodity will in general not be invariant to the choice of the reference model. The use of quantity weights in hedonic regression models is strongly recommended if possible.

Keywords:   hedonic price adjustment, economic theory, hedonic regression models, log-log, semilog, linear, price change

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