Price Measurement Using Scanner Data: Time-Product Dummy Versus Time Dummy Hedonic Indexes

Jan de Haan, Rens Hendriks, Michael Scholz*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

10 Citations (Scopus)
69 Downloads (Pure)

Abstract

This paper compares two model-based multilateral price indexes: the time-product dummy (TPD) index and the time dummy hedonic (TDH) index, both estimated by expenditure-share weighted least squares regression. The TPD model can be viewed as the saturated version of the underlying TDH model, and we argue that the regression residuals are “distorted toward zero” due to overfitting. We decompose the ratio of the two indexes in terms of average regression residuals of the new and disappearing items. The decomposition aims to explain the conditions under which the TPD index suffers from quality-change bias or, more generally, lack-of-matching bias. An example using scanner data on packaged men's T-shirts illustrates our framework.

Original languageEnglish
Pages (from-to)394-417
Number of pages24
JournalReview of Income and Wealth
Volume67 (2021)
Issue number2
DOIs
Publication statusPublished - 2020

Keywords

  • hedonic regression
  • multilateral price indexes
  • new and disappearing items
  • quality change
  • scanner data

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