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Cycles in American National Electoral Politics, 1854–2006: Statistical Evidence and an Explanatory Model

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  • MERRILL, SAMUEL
  • GROFMAN, BERNARD
  • BRUNELL, THOMAS L.

Abstract

Are there cycles in American politics? In particular, does the proportion of the Democratic/Republican vote share for president and/or seat share in Congress rise and fall over extended periods of time? If so, are the cycles regular, and what are the cycling periods? Moreover, if there are regular cycles, can we construct an integrated model—such as a negative feedback loop—that identifies political forces that could generate the observed patterns? First, we use spectral analysis to test for the presence and length of cycles, and show that regular cycles do, in fact, exist—with periods that conform to those predicted by the Schlesingers—for swings between liberalism and conservatism—but with durations much shorter than those most commonly claimed by Burnham and others in characterizing American political realignments. Second, we offer a voter–party interaction model that depends on the tensions between parties' policy and office motivations and between voters' tendency to sustain incumbents while reacting against extreme policies. We find a plausible fit between the regular cycling that this model projects and the time series of two-party politics in America over the past century and a half.

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  • Merrill, Samuel & Grofman, Bernard & Brunell, Thomas L., 2008. "Cycles in American National Electoral Politics, 1854–2006: Statistical Evidence and an Explanatory Model," American Political Science Review, Cambridge University Press, vol. 102(1), pages 1-17, February.
  • Handle: RePEc:cup:apsrev:v:102:y:2008:i:01:p:1-17_08
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    Cited by:

    1. Brusco, Sandro & Roy, Jaideep, 2016. "Cycles in public opinion and the dynamics of stable party systems," Games and Economic Behavior, Elsevier, vol. 100(C), pages 413-430.
    2. Luís Aguiar-Conraria & Pedro Magalhães & Maria Soares, 2013. "The nationalization of electoral cycles in the United States: a wavelet analysis," Public Choice, Springer, vol. 156(3), pages 387-408, September.
    3. Bilgili, Faik & Mugaloglu, Erhan & Koçak, Emrah, 2018. "The impact of oil prices on CO2 emissions in China: A Wavelet coherence approach," MPRA Paper 90170, University Library of Munich, Germany.
    4. Bernard Grofman & Orestis Troumpounis & Dimitrios Xefteris, 2016. "Electoral competition with primaries and quality asymmetries," Working Papers 135286117, Lancaster University Management School, Economics Department.
    5. Rita Sousa & Luís Francisco Aguiar-Conraria & Maria Joana Soares, 2014. "Carbon and Energy Prices: Surfing the Wavelets of California," NIPE Working Papers 19/2014, NIPE - Universidade do Minho.
    6. Bilgili, Faik & Kuşkaya, Sevda & Toğuç, Nurhan & Muğaloğlu, Erhan & Koçak, Emrah & Bulut, Ümit & Bağlıtaş, H. Hilal, 2019. "A revisited renewable consumption-growth nexus: A continuous wavelet approach through disaggregated data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 1-19.
    7. Luís Francisco Aguiar & Pedro C. Magalhães & Maria Joana Soares, 2010. "Synchronism in Electoral Cycles: How United are the United States?," NIPE Working Papers 17/2010, NIPE - Universidade do Minho.
    8. Jerôme, Bruno & Jerôme-Speziari, Véronique, 2010. "Forecasting partisan dynamics in Europe," International Journal of Forecasting, Elsevier, vol. 26(1), pages 98-115, January.

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