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Historical Political Futures Markets: An International Perspective

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  • Paul W. Rhode
  • Koleman Strumpf

Abstract

Political future markets, in which investors bet on election outcomes, are often thought a recent invention. Such markets in fact have a long history in many Western countries. This paper traces the operation of political futures markets back to 16th Century Italy, 18th Century Britain, and 19th Century United States. In the United States, election betting was a common part of political campaigns in the antebellum period, but became increasingly concentrated in the organized futures markets in New York City over the postbellum period.

Suggested Citation

  • Paul W. Rhode & Koleman Strumpf, 2008. "Historical Political Futures Markets: An International Perspective," NBER Working Papers 14377, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:14377
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    Cited by:

    1. Thomas Ferguson & Paul Jorgensen & Jie Chen, 2018. "Industrial Structure and Party Competition in an Age of Hunger Games:Donald Trump and the 2016 Presidential Election Donald Trump and the 2016 Presidential Election," Working Papers Series 66, Institute for New Economic Thinking.
    2. Erik Snowberg & Justin Wolfers & Eric Zitzewitz, 2011. "How Prediction Markets can Save Event Studies," CAMA Working Papers 2011-07, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. Thomas Ferguson & Paul Jorgensen & Jie Chen, 2016. "How Money Drives US Congressional Elections," Working Papers Series 48, Institute for New Economic Thinking.
    4. Patrick Buckley & Fergal O’Brien, 0. "The effect of malicious manipulations on prediction market accuracy," Information Systems Frontiers, Springer, vol. 0, pages 1-13.
    5. Sung, Ming-Chien & McDonald, David C.J. & Johnson, Johnnie E.V. & Tai, Chung-Ching & Cheah, Eng-Tuck, 2019. "Improving prediction market forecasts by detecting and correcting possible over-reaction to price movements," European Journal of Operational Research, Elsevier, vol. 272(1), pages 389-405.
    6. Ferguson, Thomas & Jorgensen, Paul & Chen, Jie, 2022. "How money drives US congressional elections: Linear models of money and outcomes," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 527-545.
    7. Leighton Vaughan Williams, 2015. "Forecasting the decisions of the US Supreme Court: lessons from the ‘affordable care act’ judgment," Journal of Prediction Markets, University of Buckingham Press, vol. 9(1), pages 64-78.
    8. Patrick Buckley & Fergal O’Brien, 2017. "The effect of malicious manipulations on prediction market accuracy," Information Systems Frontiers, Springer, vol. 19(3), pages 611-623, June.

    More about this item

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • N12 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - U.S.; Canada: 1913-
    • N14 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - Europe: 1913-
    • P16 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Capitalist Institutions; Welfare State

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