nep-ict New Economics Papers
on Information and Communication Technologies
Issue of 2010‒10‒16
two papers chosen by
Walter Frisch
University Vienna

  1. Media, Aggregators and the Link Economy: Strategic Hyperlink Formation in Content Networks By Chrysanthos Dellarocas; Zsolt Katona; William Rand
  2. Information Content of DQAF Indicators - Empirical Entropy Analysis By Mico Mrkaic

  1. By: Chrysanthos Dellarocas (School of Management, Boston University); Zsolt Katona (Haas School of Business, University of California, Berkeley); William Rand (Robert H. Smith School of Business, University of Maryland)
    Abstract: A key property of the World Wide Web is the possibility for firms to place virtually costless links to third-party content as a substitute or complement to their own content. This ability to hyperlink has enabled new types of players, such as search engines and content aggregators, to successfully enter content ecosystems, attracting traffic and revenues by hosting links to the content of others. This, in turn, has sparked a heated controversy between content producers and aggregators regarding the legitimacy and social costs/benefits of uninhibited free linking. This work is the first to model the implications of interrelated and strategic hyper-linking and content investments. Our results provide a nuanced view of the much-touted Òlink economyÓ, highlighting both the beneficial consequences and the drawbacks of free hyperlinks for content producers and consumers. We show that content sites can reduce competition and improve profits by forming links to each other; in such networks one site makes high investments in content and other sites link to it. Interestingly, competitive dynamics often preclude the formation of link networks, even in settings where they would improve everyone's profits. Furthermore, such networks improve economic efficiency only when all members have similar abilities to produce content; otherwise the less capable nodes can free-ride on the content of the more capable nodes, reducing profits for the capable nodes as well as the average content quality available to consumers. Within these networks, aggregators have both positive and negative effects. By making it easier for consumers to access good quality content they increase the appeal of the entire content ecosystem relative to the alternatives. To the extent that this increases the total traffic flowing into the content ecosystem, aggregators can help increase the profits of the highest quality content sites. At the same time, however, the market entry of aggregators takes away some of the revenue that would otherwise go to pure content sites. Finally, by placing links to only a subset of available content, aggregators further increase competitive pressure on content sites. Interestingly, this can increase the likelihood that such sites will then attempt to alleviate the competitive pressure by forming link networks.
    Keywords: hyperlinks; content networks; content aggregators; strategic network formation.
    JEL: D83 D85 L14 O34
    Date: 2010–09
    URL: http://d.repec.org/n?u=RePEc:net:wpaper:1013&r=ict
  2. By: Mico Mrkaic
    Abstract: The study presents an analysis of the information content of IMF’s Data Quality Assessment Framework (DQAF) indicators. There are significant differences in the quantity of information between DQAF dimensions and sub-dimensions. The most informative DQAF dimension is accessibility, followed by the prerequisites of quality and accuracy and reliability. The least informative DQAF dimensions are serviceability and assurances of integrity. The implication of these findings is that the current DQAF indicators do not maximize the amount of information that could be obtained during data ROSC missions. An additional set of assessments that would refine the existing DQAF indicators would be beneficial in maximizing the information gathered during data ROSC mission. The entropy of DQAF indicators could also be used in the construction of a cardinal index of data quality.
    Keywords: Data analysis , Data collection , Data quality assessment framework , Economic models ,
    Date: 2010–09–03
    URL: http://d.repec.org/n?u=RePEc:imf:imfwpa:10/204&r=ict

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