The Electronic Ballot Box: A Rational Voting Model for Class, Age, and Racial Bias
DOI:
https://doi.org/10.15763/issn.2374-7781.2007.28.0.19-35Abstract
This research creates a theoretical framework for understanding the effect of Internet voting on the electorate. Based on standard Downsian rational choice voting theory, we claim that Internet voting lowers the cost of voting for certain voting demographics based upon race, age, and income. We further contend that this electoral advantage may crystallize the growing turnout disparity between demographic groups. The theory is tested using Bayesian inferential methods with data from the Internet turnout in the 2000 Arizona Democratic Presidential Primary merged with demographic data obtained from the 2000 Census. Our findings lend support for the theory that the Internet provides an electoral bias towards white voters, younger voters, and to the more affluent.References
Aldrich, J.A. 1995. Why Parties? Chicago: University of Chicago Press. http://dx.doi.org/10.7208/chicago/9780226012773.001.0001
Aldrich, J.A. 1976. Some Problems in Testing Two Rational Models of Participation. American Journal of Political Science 20(4):713-733. http://dx.doi.org/10.2307/2110568
Alvarez, R. Michael., and J. Nagler. 2001. The Likely Consequences of Internet Voting for Political Representation. Loyola of Los Angeles Law Review 34(3):1115-1152.
Barry, B.M. 1970. Sociologists, Economists and Democracy. London: Collier-Macmillan.
Browning, G. 1996. Electronic Democracy: Using the Internet to Influence American Politics. Wilton: Pemberton Press.
Burnham, W.D. 1987. The Turnout Problem. Pp. 97-134 in Elections American Style, ed. A.J. Reichley. Washington, DC: Brookings Institution.
Conventions Boost Online Fundraising. 2000. Associated Press. 18 August.
Cowles, M.K., and P.C. Bradley. 1996. Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review. Journal of the American Statistical Association 91(434):883-904. http://dx.doi.org/10.1080/01621459.1996.10476956
Davis, R. 1999. The Web of Politics: The Internet's Impact on American Political Systems. Oxford: Oxford University Press.
Downs, R.A. 1957. An Economic Theory of Democracy. New York: Harper and Row.
Fox, J. 1957. An R and S-plus Companion to Applied Regression. Thousand Oaks, CA: Sage.
Gelman, A., and D.L. Rubin. 1992. Inference from Iterative Simulation Using Multiple Sequences. Statistical Science 7(4):457-472. http://dx.doi.org/10.1214/ss/1177011136
Geweke, J. 1993. Bayesian Treatment of the Independent Student-t Linear Model. Journal of the Applied Econometrics 8(S):S19-40.
Gill, J. 2002. Bayesian Methods for the Social and Behavioral Sciences. Boca Raton, FL: Chapman and Hall/CRC.
Gill, J., and J. Gainous. 2002. Why Does Voting Get so Complicated? A Review of Theories for Analyzing Democratic Participation. Statistical Science 17(4):1-22. http://dx.doi.org/10.1214/ss/1049993199
Hobert, J.P., and G. Casella. 1996. The Effect of Improper Priors on Gibbs Sampling in Hierarchical Linear Mixed Models. Journal of the American Statistical Association 91(436):1461-1473. http://dx.doi.org/10.1080/01621459.1996.10476714
Jackman, S. 2000. Estimation and Inference via Bayesian Simulation: An Introduction to Markov Chain Monte Carlo. American Journal of Political Science 44(2):375-404. http://dx.doi.org/10.2307/2669318
Johnson, V.E. 1996. Studying Convergence of Markov Chain Monte Carlo Algorithms Using Coupled Sample Paths. Journal of the American Statistical Association 91(433):154-166. http://dx.doi.org/10.1080/01621459.1996.10476672
Lee, P. M. 1989. Bayesian Statistics: An Introduction. New York: Oxford University Press.
Leighley, J.E., and J. Nagler. 1992. Socioeconomic Bias in Turnout 1964-1988: The Voters Remain the Same. American Political Science Review 86(3):725-736. http://dx.doi.org/10.2307/1964134
Martinez, M., and D. Hill. 1999. Did Motor Voter Work? American Politics Quarterly 27(3):296-315. http://dx.doi.org/10.1177/1532673X99027003002
Nathan, S. 2000. More Investors Click to Cast Proxy Votes. USA Today, 27 March, 13B.
Pollard, W.E. 1986. Bayesian Statistics for Evaluation Research: An Introduction. Beverly Hills, CA: Sage.
Press, S.J. 1989. Bayesian Statistics: Principles, Models, and Applications. New York: Wiley.
Riker, W.H., and P.C. Ordeshook. 1968. A Theory of the Calculus of Voting. American Political Science Review 62(1):25-42. http://dx.doi.org/10.1017/S000305540011562X http://dx.doi.org/10.2307/1953324
Robert, C.P. 2001. The Bayesian Choice: A Decision Theoretic Motivation. New York: Springer-Verlag.
Robert, C.P. 1995. Convergence Control Methods for Markov Chain Monte Carlo Algorithms. Statistical Science 10(3):231-253. http://dx.doi.org/10.1214/ss/1177009937
Rosenstone, S., and J.M. Hansen. 1993. Mobilization, Participation, and Democracy in America. New York: Macmillan.
Salant, J.D. 2000. Bush Campaign Last in Internet Fundraising. Associated Press, 5 February.
Selnow, G.W. 1998. Electronic Whistle Stops: The Impact of the Internet on American Politics. Westport, CT.: Praeger Publishers. SeniorNet.org.http://www.seniornet.org/php.
Solop, F.I. 2001. Digital Democracy Comes of Age: Internet Voting and the 2000 Arizona Democratic Primary Election. Political Science and Politics 34(2):289-293. http://dx.doi.org/10.1017/S104909650100052X
Solop, F.I. 2000. Public Support for Internet Voting: Are We Falling Into a "Racial Ravine." Paper presented at The American Association of Public Opinion Research, Portland, Oregon.
Tolbert, C.J., and R.S. McNeal. 2003. Unraveling the Effects of the Internet on Political Participation? Political Research Quarterly 56(2):175-185. http://dx.doi.org/10.2307/3219896 http://dx.doi.org/10.1177/106591290305600206
Tullock, G. 1967. Towards a Mathematics of Politics. Ann Arbor: University of Michigan Press.
United States Department of Commerce (DOC). 2000. Falling Through the Net: Toward Digital Inclusion.
U.S. Dept. of Commerce. Bureau of Census. Statistical Abstract of the United States. 2000. Washington DC: Government Printing Office, various.
Western, B., and S. Jackman. 1994. Bayesian Inference for Comparative Research. American Political Science Review 88(2):412-423. http://dx.doi.org/10.2307/2944713
Wolfinger, R.E., and S.J. Rosenstone. 1980. Who Votes? New Haven, CT: Yale University Press.
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