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Faster, smaller, cheaper: an hedonic price analysis of PDAs

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  • P. D. Chwelos
  • E. R. Berndt
  • I. M. Cockburn

Abstract

We compute quality-adjusted price indexes for personal digital assistants (PDAs) for the period 1999 to 2004. Hedonic regressions indicate that prices are related to processor generation and clock speed, memory capacity, screen size and quality and the presence of a digital camera or wireless capability. A particularly salient feature of PDAs is portability, where we find: (i) purchasers value the energy density of the battery technology (e.g. lithium ion) rather than the battery life in hours; and (ii) the physical characteristics of the PDA (e.g. weight, volume) are nonlinearly related to price, suggesting that valuation of the physical form of PDAs does not bear a simple linear relationship to characteristics, either in absolute terms ('smaller is better') or vs. an ergonomic 'sweet spot'. Rather, portability characteristics are correlated with other desirable attributes, making the relationship between price and portability difficult to disentangle. However, hedonic price indexes are robust across different measures of the portability of PDAs. Hedonic indexes using the dummy variable, characteristics prices, and imputation approaches decline on average between 19 and 26% per year. A matched model price index computed from a subset of observations declines at 19% per year, while a fixed-effects hedonic index declines at 14% per year.

Suggested Citation

  • P. D. Chwelos & E. R. Berndt & I. M. Cockburn, 2008. "Faster, smaller, cheaper: an hedonic price analysis of PDAs," Applied Economics, Taylor & Francis Journals, vol. 40(22), pages 2839-2856.
  • Handle: RePEc:taf:applec:v:40:y:2008:i:22:p:2839-2856
    DOI: 10.1080/00036840600993924
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    2. Silver, Mick & Heravi, Saeed, 2005. "A Failure in the Measurement of Inflation: Results From a Hedonic and Matched Experiment Using Scanner Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 269-281, July.
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    8. José A. Montenegro & José L. Torres, 2016. "Consumer preferences and implicit prices of smartphone characteristics," Working Papers 2016-04, Universidad de Málaga, Department of Economic Theory, Málaga Economic Theory Research Center.
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    More about this item

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • L63 - Industrial Organization - - Industry Studies: Manufacturing - - - Microelectronics; Computers; Communications Equipment
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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