A computer software price index using scanner data

Prud'homme, Marc; Sanga, Dimitri; Yu, Kin Wah

doi:10.1111/j.0008-4085.2005.00313.x

Cited by 17 publications

(4 citation statements)

References 17 publications

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“…On prices for PC component software, see Prud'homme and Yu (2002), Abel, Berndt, and White (2003), and White, Abel, Berndt, and Monroe (2004). The latter reports price declines for PC operating system and productivity suite software of around 13%-18% per year, where PC hardware prices have been falling at 20%-30% per year, or even more, which is consistent with McCarthy's speculation.…”

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confidence: 61%

“…" Intel Corporation (2001) 101. For software price/performance research by economists, see Harhoff and Moch (1997), Gandal (1994), Prud'homme andYu (2002), Levine (2002), and Abel, Berndt and White (2003). Discussions of software measurement in the US national accounts are contained in Parker and Grimm (2000) and Moylan (2001).…”

Section: Benchmark Measures Of Computer Performancementioning

confidence: 99%

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Handbook on Hedonic Indexes and Quality Adjustments in Price Indexes

2004

OECD Science, Technology and Industry Working Papers

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The Working Paper series of the OECD Directorate for Science, Technology and Industry is designed to make available to a wider readership selected studies prepared by staff in the Directorate or by outside consultants working on OECD projects. The papers included in the series cover a broad range of issues, of both a technical and policy-analytical nature, in the areas of work of the DSTI. The Working Papers are generally available only in their original language-English or French-with a summary in the other. Comments on the papers are invited, and should be sent to the

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confidence: 61%

Section: Benchmark Measures Of Computer Performancementioning

confidence: 99%

Handbook on Hedonic Indexes and Quality Adjustments in Price Indexes

2004

OECD Science, Technology and Industry Working Papers

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“…However, a particular issue surrounding the application of hedonic pricing analysis where utility from consumption is not known with certainty ex ante is that a wealth of relevant characteristics can be difficult to describe and hence are not easily quantifiable (Oliner & Sichel, 1994;Hollanders & Meijers, 2002). Despite these inherent difficulties, hedonic pricing analysis has previously been applied to computer software in studies such as Gandal (1994), Brynjolfsson and Kemerer (1996), Harhoff and Moch (1997), Castronova (2004), Prud'homme et al (2005 and Chakravarty et al (2006). However, as far as the author is aware, this is the first study to undertake a hedonic pricing analysis based on the characteristics of video gaming software.…”

Section: Methodsmentioning

confidence: 99%

Play It Again, Sam? Versioning in the Market for Second‐hand Video Game Software

Cox

2016

Manage Decis Econ

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Information goods are characterised by high fixed costs and low marginal costs of production. A potentially effective strategy that can be adopted by firms operating in such markets is versioning, whereby various features are added or subtracted from a number of distinct versions of the good. This effectively serves as a means of second-degree price discrimination designed to extract prices closer to the maximum willingness to pay from different groups of consumers. This study tests the effectiveness of versioning as a means of exploiting differences in willingness to pay in second-hand markets for information goods by undertaking the first hedonic price analysis of video gaming software. The empirical evidence presented in this paper is based on the analysis of an extensive cross-sectional dataset consisting of over 5000 observations of pre-owned video game prices in the USA. Controls are introduced for a variety of other observable characteristics, including the quality of the game-play experience, the publisher, genre and theme of the game. The results are consistent with theoretical expectations and demonstrate that significant variations in willingness to pay can be exploited through the strategic use of versioning. The practice is therefore argued to represent an effective means by which firms in these markets can enhance revenues.

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“…It has become common for U.S. manufacturing firms to outsource fabrication of electronics, frequently to offshore locations, but to retain the design and management tasks within the company, often in domestic locations. Because these so-called "factoryless manufacturers" may create the intellectual property and bear the entrepreneurial risk for products with rapidly increasing 23 Also, see Prud'homme, Sanga, and Yu (2005) for similar evidence using Canadian scanner data.…”

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confidence: 98%

Is the Information Technology Revolution Over?

2013

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Given the slowdown in labor productivity growth in the mid-2000s, some have argued that the boost to labor productivity from IT may have run its course. This paper contributes three types of evidence to this debate. First, we show that since 2004, IT has continued to make a significant contribution to labor productivity growth in the United States, though it is no longer providing the boost it did during the productivity resurgence from 1995 to 2004. Second, we present evidence that semiconductor technology, a key ingredient of the IT revolution, has continued to advance at a rapid pace and that the BLS price index for microprocesssors may have substantially understated the rate of decline in prices in recent years. Finally, we develop projections of growth in trend labor productivity in the nonfarm business sector. The baseline projection of about 1¾ percent a year is better than recent history but is still below the long-run average of 2¼ percent. However, we see a reasonable prospect -particularly given the ongoing advance in semiconductors -that the pace of labor productivity growth could rise back up to or exceed the long-run average. While the evidence is far from conclusive, we judge that "No, the IT revolution is not over." *We thank Andrew Sharpe and Chad Syverson for helpful comments and Sophie (Liyang) Sun for exceptional research assistance. We also thank Robert Gordon, Dale Jorgenson, and Dan Hutcheson for providing data and forecasts. The views expressed here are ours alone and should not be attributed to the Board of Governors of the Federal Reserve System, its staff, or any of the other institutions with which we are affiliated.-1 -

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A computer software price index using scanner data

Abstract: In the last 20 years,

Cited by 17 publications

References 17 publications

Handbook on Hedonic Indexes and Quality Adjustments in Price Indexes

Handbook on Hedonic Indexes and Quality Adjustments in Price Indexes

Play It Again, Sam? Versioning in the Market for Second‐hand Video Game Software

Is the Information Technology Revolution Over?

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