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Voter turnout in US presidential elections: does Carville’s law explain the time series?

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  • Tony Caporale
  • Marc Poitras

Abstract

We estimate a time series model of voter turnout for 34 US presidential elections, 1880--2012. Employing a variety of econometric techniques, our major results are as follows. (1) A negative and significant structural shift in voter turnout occurs in 1972 and is too large to be explained by the lowering of the voting age. (2) The 1972 shift is the only statistically significant structural shift to occur since the first decade of the twentieth century. (3) Short-term macroeconomic conditions significantly impact turnout, with unemployment having a positive effect. (4) Turnout in recent presidential elections has not deviated significantly from the post-1972 norm. (5) Turnout is positively related to the expected closeness of the election outcome, but contrary to some theoretical predictions, closeness exhibits no trend over time.

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  • Tony Caporale & Marc Poitras, 2014. "Voter turnout in US presidential elections: does Carville’s law explain the time series?," Applied Economics, Taylor & Francis Journals, vol. 46(29), pages 3630-3638, October.
    • Handle: RePEc:taf:applec:v:46:y:2014:i:29:p:3630-3638
    DOI: 10.1080/00036846.2014.937037
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    Cited by:

    1. Richard J. Cebula & Gigi M. Alexander, 2017. "Female Labor Force Participation and Voter Turnout: Evidence from the American Presidential Elections," Review of Economics and Institutions, Università di Perugia, vol. 8(2).
    2. Lee, Gi-Eu & Chou, Chang-Erh, 2020. "The Ex Ante Price Information Effect on Water Conservation: A Case Study of Taipei’s Water Tariff Adjustment," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304253, Agricultural and Applied Economics Association.
    3. Cebula, Richard J., 2019. "The Voter Turnout/Relative Unemployment Rate Hypothesis," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 72(3), pages 255-280.

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