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    Economic welfare and universal service

    Access Status
    Fulltext not available
    Authors
    Madden, Gary
    Date
    2010
    Type
    Journal Article
    
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    Citation
    Madden, Gary. 2010. Economic welfare and universal service. Telecommunications Policy. 34 (1-2): pp. 110-116.
    Source Title
    Telecommunications Policy
    DOI
    10.1016/j.telpol.2009.11.001
    ISSN
    03085961
    School
    School of Economics and Finance
    URI
    http://hdl.handle.net/20.500.11937/41701
    Collection
    • Curtin Research Publications
    Abstract

    Panzar (2000) argues that the composition of universal service bundles depend on both economic and political considerations. The factors policymakers consider in determining the universal service bundle include: (a) the strength of network effects, (b) costs of individual elements that comprise the bundle, and (c) redistribution goals. From an economic perspective, elements should only be included when the service embodies substantial network externalities. Interestingly, while there is an abundance of theoretical and applied analyses of the rationale for universal service and associated costs (and distortions), there is a paucity of available research on societal economic welfare gains. Accordingly, this study develops a procedure to determine the economic welfare gain from the universal provision of telecommunications services. Following [Hausman, 1981] and [Hausman et al., 1997], the study provides a theoretical measure of welfare change based on the compensating variation (CV) approach. In particular, the study modifies Hausman's CV formula to incorporate a dynamic model specified by Madden and Coble-Neal (2004). Importantly, this demand specification incorporates the notion that the current network size depends on the past size of the network and expectations of future size. This demand specification is the result of dynamic optimising behaviour by a representative consumer. Finally, the representative consumer's subscription choice is influenced by a telecommunications service network effect.

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