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Can latent groups influence policy decisions? The case of telecommunications policy

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  • Dino Falaschetti
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    Abstract

    Electoral constituencies recognize favorable policy outcomes in high- turnout jurisdictions (Key 1984 [1949]; Hamilton 1993; Fleck 1999). In the present paper, I evaluate whether underlying institutions might provide a finer explanation of this relationship. To do so, I formally examine variation in telecommunications policy across US states. The resulting evidence is consistent with residential customers recognizing more favorable policy when institutions reduce voting’s resource cost (measured by registration rules) or increase its non-pecuniary benefit (measured by Perot-support). Measures of either force explain significantly more variation in the present data than does a measure of actual participation (i.e., turnout).

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    File URL: http://128.118.178.162/eps/pe/papers/0311/0311002.pdf
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    Bibliographic Info

    Paper provided by EconWPA in its series Public Economics with number 0311002.

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    Length: 23 pages
    Date of creation: 16 Nov 2003
    Date of revision:
    Handle: RePEc:wpa:wuwppe:0311002

    Note: Type of Document - pdf; prepared on WinXP; pages: 23
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    Web page: http://128.118.178.162

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    Keywords: voter turnout; regulated prices; collective action;

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    1. Kaserman, David L & Mayo, John W & Flynn, Joseph E, 1990. "Cross-Subsidization in Telecommunications: Beyond the Universal Service Fairy Tale," Journal of Regulatory Economics, Springer, vol. 2(3), pages 231-49, September.
    2. Fleck, Robert K, 1999. "The Value of the Vote: A Model and Test of the Effects of Turnout on Distributive Policy," Economic Inquiry, Western Economic Association International, vol. 37(4), pages 609-23, October.
    3. Joshua D. Angrist & Alan B. Krueger, 1995. "Split Sample Instrumental Variables," NBER Technical Working Papers 0150, National Bureau of Economic Research, Inc.
    4. Globerman, Steven & Kadonaga, Daryl, 1994. " International Differences in Telephone Rate Structures and the Organization of Business Subscribers," Public Choice, Springer, vol. 80(1-2), pages 129-42, July.
    5. Jacob L. Vigdor, 2004. "Community Composition and Collective Action: Analyzing Initial Mail Response to the 2000 Census," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 303-312, February.
    6. Robert G. Harris & C. Jeffrey Kraft, 1997. "Meddling Through: Regulating Local Telephone Competition in the United States," Journal of Economic Perspectives, American Economic Association, vol. 11(4), pages 93-112, Fall.
    7. Angrist, Joshua D & Krueger, Alan B, 1995. "Split-Sample Instrumental Variables Estimates of the Return to Schooling," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 225-35, April.
    8. Bernheim, B Douglas & Whinston, Michael D, 1986. "Menu Auctions, Resource Allocation, and Economic Influence," The Quarterly Journal of Economics, MIT Press, vol. 101(1), pages 1-31, February.
    9. James T. Hamilton, 1993. "Politics and Social Costs: Estimating the Impact of Collective Action on Hazardous Waste Facilities," RAND Journal of Economics, The RAND Corporation, vol. 24(1), pages 101-125, Spring.
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    Cited by:
    1. Yusaku Horichi & Jun Saito, 2009. "Rain, Elections and Money: The Impact of Voter Turnout on Distributive Policy Outcomes in Japan," Asia Pacific Economic Papers 379, Australia-Japan Research Centre, Crawford School of Public Policy, The Australian National University.

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