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Diffusion in Direct Democracy: The Effect of Political Information on Proposals for Tax and Expenditure Limits in the U.S. States

Published online by Cambridge University Press:  25 January 2021

Ellen C. Seljan*
Affiliation:
Lewis and Clark College, Portland, OR, USA
*
Ellen C. Seljan, Department of Political Science, Lewis & Clark College, 0615 S.W. Palatine Hill Road, MSC 12, Portland, OR 97219 Email: eseljan@lclark.edu

Abstract

Many theories of policy diffusion contend that the flow of information is the driving force in the diffusion process. Prior scholarship has identified at least two types of information: information about policy and information about political viability. Few empirical approaches have been able to distinguish between these separate mechanisms. The authors argue that an analysis of policy proposals can untangle political information from policy-based information. They employ their strategy with data on the proposal of tax and expenditure limits (TELs) in the U.S. states since 1970 through direct democracy. The authors find that states in close geographic proximity to states that have rejected TELs are significantly less likely to propose TELs themselves. Since this event does not reveal information about policy effectiveness, the authors conclude that information about political viability systematically diffuses from state to state at the proposal stage of policy making.

Type
Research Article
Copyright
Copyright © The Author(s) 2011

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References

Alm, James, and Skidmore, Mark. 1999. “Why Do Tax and Expenditure Limitations Pass in State Elections?Public Finance Review 27:481510.CrossRefGoogle Scholar
Andersen, Per Kragh, and Gill, Richard D.. 1982. “Cox's Regression Model for Counting Processes: A Large Sample Study.” Annals of Statistics 10:1100–120.CrossRefGoogle Scholar
Beck, Nathaniel, Katz, Jonathan N., and Tucker, Richard. 1998. “Taking Time Seriously: Time-Series-Cross-Section Analysis with a Binary Dependent Variable.” American Journal of Political Science 42:1260–88.CrossRefGoogle Scholar
Berry, Frances Stokes, and Berry, William D.. 1990. “State Lottery Adoptions as Policy Innovations: An Event History Analysis.” American Political Science Review 84:395416.CrossRefGoogle Scholar
Berry, Frances Stokes, and Berry, William D.. 1999. “Innovation and Diffusion Models in Policy Research.” In Theories of the Policy Process, ed. A., Paul, Sabatier, . Boulder, CO: Westview, 169200.Google Scholar
Berry, Frances Stokes, and Berry, William D.. 2007. “Innovation and Diffusion Models in Policy Research.” In Theories of the Policy Process, 2nd ed., ed. A., Paul, Sabatier, . Boulder, CO: Westview, 223260.Google Scholar
Berry, William D., and Baybeck, Brady. 2005. “Using Geographic Information Systems (GIS) Software to Study Interstate Competition.” American Political Science Review 99:505–19.Google Scholar
Berry, William D., Ringquist, Evan J., Fording, Richard C., and Hanson, Russell L.. 1998. “Measuring Citizen and Government Ideology in the American States, 1960–93.” American Journal of Political Science 42:327–48.CrossRefGoogle Scholar
Boehmke, Frederick J. 2005. The Indirect Effect of Direct Legislation: How Institutions Shape Interest Group Systems. Columbus: Ohio State University Press.Google Scholar
Boehmke, Frederick J. 2009. “Approaches to Modeling the Adoption and Modification of Policies with Multiple Components.” State Politics & Policy Quarterly 9:229–52.CrossRefGoogle Scholar
Boehmke, Frederick J., and Witmer, Richard. 2004. “Disentangling Diffusion: The Effects of Social Learning and Economic Competition on State Policy Innovation and Expansion.” Political Research Quarterly 57:3951.CrossRefGoogle Scholar
Buckley, Jack, and Westerland, Chad. 2004. “Duration Dependence, Functional Form, and Corrected Standard Errors: Improving EHA Models of State Policy Diffusion.” State Politics & Policy Quarterly 4:92111.CrossRefGoogle Scholar
Downes, Thomas, and Figlio, David. 1998. “School Finance Reforms, Tax Limits, and Student Performance: Do Reforms Level-Up or Dumb Down?” Discussion Papers Series, Department of Economics, Tufts University.Google Scholar
Dye, Thomas R. 1990. American Federalism: Competition among Governments. Lexington, MA: Heath.Google Scholar
Garrett, Elizabeth. 1999. “Money, Agenda Setting, and Direct Democracy.” Texas Law Review 77:1845–90.Google Scholar
Gilardi, Fabrizio. 2010. “Who Learns from What in Policy Diffusion Processes?American Journal of Political Science 54:650–66.Google Scholar
Graham, Erin, Shipan, Charles R., and Volden, Craig. 2008. “The Diffusion of Policy Diffusion Research.” Working paper, http://psweb.sbs.ohio-state.edu/faculty/cvolden/GSVDiffusionResearch.pdf.Google Scholar
Gray, Virginia. 1994. “Competition, Emulation, and Policy Innovation,” In New Perspectives on American Politics, eds. C., Lawrence, Dodd, , and Jillson, Calvin. Washington, DC: CQ Press, 230248.Google Scholar
Grossback, Lawrence J., Nicholson-Crotty, Sean, and Peterson, David A.. 2004. “Ideology and Learning in Policy Diffusion.” American Politics Research 32:521–45.Google Scholar
Holzinger, Katharina, Knill, Christoph, and Sommerer, Thomas. 2008. “Environmental Policy Convergence: The Impact of International Harmonization, Transnational Communication and Regulatory Competition.” International Organization 62:553–88.CrossRefGoogle Scholar
Karch, Andrew. 2007. Democratic Laboratories: Policy Diffusion among the American States. Ann Arbor: University of Michigan Press.Google Scholar
King, Gary, Keohane, Robert O., and Verba, Sidney. 1994. Designing Social Inquiry: Scientific Inference in Qualitative Research. Princeton, NJ: Princeton University Press.Google Scholar
King, Gary, and Zeng, Langche. 2001. “Improving Forecasts of State Failure.” World Politics 53:623–58.CrossRefGoogle Scholar
Kuttner, Robert. 1980. Revolt of the Haves. New York: Simon & Schuster.Google Scholar
Long, J. Scott, and Freese, Jeremy. 2005. Regression Models for Categorical Outcomes Using Stata. 2nd ed. College Station, TX: Stata Press.Google Scholar
Lowery, David, and Sigelman, Lee. 1981. “Understanding the Tax Revolt: Eight Explanations.” American Political Science Review 75:963–74.CrossRefGoogle Scholar
Lupia, Arthur, Krupnikov, Yanna, Levine, Adam Seth, Piston, Spencer, and Hagen-Jamar, Alexander Von. 2009. “Why State Constitutions Differ in Their Treatment of Same-Sex Marriage.” Paper presented at the 2009 annual State Politics and Policy Conference, Chapel Hill, NC.Google Scholar
Lutz, James M. 1986. “The Spatial and Temporal Diffusion of Selected Licensing Laws in the United States.” Political Geography Quarterly 5:141–59.CrossRefGoogle Scholar
Martin, Isaac William. 2009. “Proposition 13 Fever: How California's Tax Limitation Spread.” California Journal of Politics and Policy 1: Article 17. http://www.bepress.com/cjpp/vol1/iss1/1 7CrossRefGoogle Scholar
Matsusaka, John. 2007. “Direct Democracy and Social Issues.” Working paper, http://www-rcf.usc.edu/~matsusak/Papers/Matsusaka_DD_and_Social_Issues_2007.pdf.Google Scholar
Meinke, Scott R., Staton, Jeffrey K., and Wuhs, Steven T.. 2006. “State Delegate Selection Rules for Presidential Nominations 1972–2000.” Journal of Politics 68:180–93.CrossRefGoogle Scholar
Meseguer, Covadonga. 2006. “Rational Learning and Bounded Learning in the Diffusion of Policy Innovations.” Rationality and Society 18:3566.CrossRefGoogle Scholar
Mintrom, Michael. 1997. “Policy Entrepreneurs and the Diffusion of Innovation.” American Journal of Political Science 41:738–70.Google Scholar
Mintrom, Michael, and Vergari, Sandra. 1998. “Policy Networks and Innovation Diffusion: The Case of Education Reform.” Journal of Politics 60:126–48.CrossRefGoogle Scholar
Mooney, Christopher Z. 2001. “The Public Clash of Private Values.” In The Public Clash of Private Values: The Politics of Morality Policy, ed. Z., Christopher, Mooney, . Chatham, NJ: Chatham House, 143159.Google Scholar
Mooney, Christopher Z., and Lee, Mei-Hsien. 1995. “Legislating Morality in the American States: The Case of Pre-Roe Abortion Regulation Reform.” American Journal of Political Science 39:599627.CrossRefGoogle Scholar
Mullins, Daniel R., and Wallin, Bruce A.. 2004. “Tax and Expenditure Limitations: Introduction and Overview.” Public Budgeting and Finance 24:215.CrossRefGoogle Scholar
National Conference of State Legislatures. 2008. State Ballot Measure Database. http://www.ncsl.org/default.aspx?tabid=16580.Google Scholar
Rogers, Everett M. 1962. Diffusion of Innovations. New York: Free Press.Google Scholar
Shipan, Charles R., and Volden, Craig. 2006. “Bottom-Up Federalism: The Diffusion of Antismoking Policies from U.S. Cities to States.” American Journal of Political Science 50:825–43.CrossRefGoogle Scholar
Shipan, Charles R., and Volden, Craig. 2008. “The Mechanisms of Policy Diffusion.” American Journal of Political Science 53:840–57.Google Scholar
Simmons, Beth, Dobbin, Frank, and Garrett, Geoffrey. 2006. “The Diffusion of Liberalism.” International Organization 60:781810.CrossRefGoogle Scholar
Smith, Daniel. 1998. Tax Crusaders and the Politics of Direct Democracy. New York: Routledge.Google Scholar
Stein, Robert M., Hamm, Keith E., and Freeman, Patricia K.. 1983. “An Analysis of Support for Tax Limitation Referenda.” Public Choice 40:187–94.CrossRefGoogle Scholar
Stream, Christopher. 1999. “Health Reform in the States: A Model of State Small Group Health Insurance Market Reforms.” Political Research Quarterly 52:499526.Google Scholar
U.S. Bureau of Economic Analysis. 2008. “Annual Personal Income and Employment.” www.bea.gov/regional/spi/.Google Scholar
U.S. Census Bureau. 2008. “Population Estimates.” http://www.census.gov/popest/archives.Google Scholar
U.S. Census Bureau. Various years. “State and Local Government Finances.” Washington, DC: Government Printing Office.Google Scholar
Volden, Craig. 2006. “States as Policy Laboratories: Emulating Success in the Children's Health Insurance Program.” American Journal of Political Science 50:294312.CrossRefGoogle Scholar
Volden, Craig, Ting, Michael M., and Carpenter, Daniel P.. 2008. “A Formal Model of Learning and Policy Diffusion.” American Political Science Review 102:319–32.CrossRefGoogle Scholar
Walker, Jack L. 1969. “The Diffusion of Innovations among the States.” American Political Science Review 63:880–99.CrossRefGoogle Scholar