IDEAS home Printed from https://ideas.repec.org/p/wpa/wuwppe/0311002.html

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

Author

Listed:
  • Dino Falaschetti

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).

Suggested Citation

  • Dino Falaschetti, 2003. "Can latent groups influence policy decisions? The case of telecommunications policy," Public Economics 0311002, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwppe:0311002
    Note: Type of Document - pdf; prepared on WinXP; pages: 23
    as

    Download full text from publisher

    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/pe/papers/0311/0311002.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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 231-249, September.
    3. 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.
    4. B. Douglas Bernheim & Michael D. Whinston, 1986. "Menu Auctions, Resource Allocation, and Economic Influence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(1), pages 1-31.
    5. 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 225-235, April.
    6. 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 609-623, October.
    7. 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 129-142, July.
    8. Joshua D. Angrist & Alan B. Krueger, 1993. "Split Sample Instrumental Variables," Working Papers 699, Princeton University, Department of Economics, Industrial Relations Section..
    9. Denzau, Arthur T. & Munger, Michael C., 1986. "Legislators and Interest Groups: How Unorganized Interests Get Represented," American Political Science Review, Cambridge University Press, vol. 80(1), pages 89-106, March.
    10. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dino Falaschetti, 2004. "Can Voting Reduce Welfare? Evidence from the US Telecommunications Sector," Public Economics 0401009, University Library of Munich, Germany.
    2. Dino Falaschetti, 2003. "Voter Turnout, Regulatory Commitment, and Capital Accumulation: Evidence from the US Telecommunications Sector," Microeconomics 0311002, University Library of Munich, Germany.
    3. Dino Falaschetti, 2004. "Can Voting Reduce Welfare? Evidence from the US Telecommunications Sector," Public Economics 0401006, University Library of Munich, Germany.
    4. Persson, Torsten & Tabellini, Guido, 2002. "Political economics and public finance," Handbook of Public Economics, in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 3, chapter 24, pages 1549-1659, Elsevier.
    5. Marco Manacorda & Andrea Tesei, 2020. "Liberation Technology: Mobile Phones and Political Mobilization in Africa," Econometrica, Econometric Society, vol. 88(2), pages 533-567, March.
    6. Lemos Sara, 2005. "Political Variables as Instruments for the Minimum Wage," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 4(1), pages 1-31, December.
    7. Cruces, Guillermo & Galiani, Sebastian, 2007. "Fertility and female labor supply in Latin America: New causal evidence," Labour Economics, Elsevier, vol. 14(3), pages 565-573, June.
    8. Doko Tchatoka, Firmin & Dufour, Jean-Marie, 2020. "Exogeneity tests, incomplete models, weak identification and non-Gaussian distributions: Invariance and finite-sample distributional theory," Journal of Econometrics, Elsevier, vol. 218(2), pages 390-418.
    9. Cantarella, Michele & Strozzi, Chiara, 2019. "Workers in the Crowd: The Labour Market Impact of the Online Platform Economy," IZA Discussion Papers 12327, IZA Network @ LISER.
    10. Megan T Stevenson, 2018. "Distortion of Justice: How the Inability to Pay Bail Affects Case Outcomes," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 34(4), pages 511-542.
    11. Patrick Bayer & Fernando Ferreira & Stephen L. Ross, 2018. "What Drives Racial and Ethnic Differences in High-Cost Mortgages? The Role of High-Risk Lenders," The Review of Financial Studies, Society for Financial Studies, vol. 31(1), pages 175-205.
    12. Rietveld, Cornelius A. & Webbink, Dinand, 2016. "On the genetic bias of the quarter of birth instrument," Economics & Human Biology, Elsevier, vol. 21(C), pages 137-146.
    13. Marcel Fafchamps & Julien Labonne, 2016. "Using Split Samples to Improve Inference about Causal Effects," NBER Working Papers 21842, National Bureau of Economic Research, Inc.
    14. Norman R. Swanson & John C. Chao, 2004. "Estimation and Testing Using Jackknife IV in Heteroskedastic Regressions with Many Weak Instruments," Econometric Society 2004 Far Eastern Meetings 668, Econometric Society.
    15. Julie L. Hotchkiss & Anil Rupasingha & Thor Watson, 2022. "In-migration and Dilution of Community Social Capital," International Regional Science Review, , vol. 45(1), pages 36-57, January.
    16. Prokhorov, Artem & Schmidt, Peter, 2009. "GMM redundancy results for general missing data problems," Journal of Econometrics, Elsevier, vol. 151(1), pages 47-55, July.
    17. Paul A. Bekker & Jan van der Ploeg, 2000. "Instrumental Variable Estimation Based on Grouped Data," Econometric Society World Congress 2000 Contributed Papers 1862, Econometric Society.
    18. Zhao, John & Lipps, Garth & Corak, Miles, 2003. "Family Income and Participation in Post-secondary Education," Analytical Studies Branch Research Paper Series 2003210e, Statistics Canada, Analytical Studies Branch.
    19. Bernheim, B. Douglas & Garrett, Daniel M. & Maki, Dean M., 2001. "Education and saving:: The long-term effects of high school financial curriculum mandates," Journal of Public Economics, Elsevier, vol. 80(3), pages 435-465, June.
    20. Pacini, David & Windmeijer, Frank, 2016. "Robust inference for the Two-Sample 2SLS estimator," Economics Letters, Elsevier, vol. 146(C), pages 50-54.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation
    • K23 - Law and Economics - - Regulation and Business Law - - - Regulated Industries and Administrative Law
    • L50 - Industrial Organization - - Regulation and Industrial Policy - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wpa:wuwppe:0311002. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: EconWPA The email address of this maintainer does not seem to be valid anymore. Please ask EconWPA to update the entry or send us the correct address (email available below). General contact details of provider: https://econwpa.ub.uni-muenchen.de .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.