IDEAS home Printed from https://ideas.repec.org/h/eee/expchp/5-80.html
   My bibliography  Save this book chapter

Results from a Dozen Years of Election Futures Markets Research

Author

Listed:
  • Berg, Joyce
  • Forsythe, Robert
  • Nelson, Forrest
  • Rietz, Thomas

Abstract

No abstract is available for this item.

Suggested Citation

  • Berg, Joyce & Forsythe, Robert & Nelson, Forrest & Rietz, Thomas, 2008. "Results from a Dozen Years of Election Futures Markets Research," Handbook of Experimental Economics Results, Elsevier.
  • Handle: RePEc:eee:expchp:5-80
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/B7P5N-4SYS65G-37/2/7c4cefd13bfff26d519f99131ba92047
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Coulomb, Renaud & Sangnier, Marc, 2014. "The impact of political majorities on firm value: Do electoral promises or friendship connections matter?," Journal of Public Economics, Elsevier, vol. 115(C), pages 158-170.
    2. Snowberg, Erik & Wolfers, Justin & Zitzewitz, Eric, 2013. "Prediction Markets for Economic Forecasting," Handbook of Economic Forecasting, Elsevier.
    3. Boulu-Reshef, Béatrice & Comeig, Irene & Donze, Robert & Weiss, Gregory D., 2016. "Risk aversion in prediction markets: A framed-field experiment," Journal of Business Research, Elsevier, vol. 69(11), pages 5071-5075.
    4. Justin Wolfers & Eric Zitzewitz, 2006. "Prediction Markets in Theory and Practice," NBER Working Papers 12083, National Bureau of Economic Research, Inc.
    5. Andrew Leigh & Justin Wolfers, 2006. "Competing Approaches to Forecasting Elections: Economic Models, Opinion Polling and Prediction Markets," The Economic Record, The Economic Society of Australia, vol. 82(258), pages 325-340, September.
    6. Calvin Blackwell & Robert Pickford, 2011. "The wisdom of the few or the wisdom of the many? An indirect test of the marginal trader hypothesis," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 35(2), pages 164-180, April.
    7. Deck, Cary & Lin, Shengle & Porter, David, 2013. "Affecting policy by manipulating prediction markets: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 85(C), pages 48-62.
    8. Goodell, John W. & Vähämaa, Sami, 2013. "US presidential elections and implied volatility: The role of political uncertainty," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 1108-1117.
    9. Bennouri, Moez & Gimpel, Henner & Robert, Jacques, 2011. "Measuring the impact of information aggregation mechanisms: An experimental investigation," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 302-318, May.
    10. Riekhof, Hans-Christian & Brinkhoff, Stefan, 2014. "Absatzprognosen: Eine empirische Bestandsaufnahme der unternehmerischen Praxis," PFH Forschungspapiere/Research Papers 2014/04, PFH Private University of Applied Sciences, Göttingen.
    11. Knight*, Brian, 2007. "Are policy platforms capitalized into equity prices? Evidence from the Bush/Gore 2000 Presidential Election," Journal of Public Economics, Elsevier, vol. 91(1-2), pages 389-409, February.
    12. Bruno Frey, 2008. "Outside and inside competition for international organizations—from analysis to innovations," The Review of International Organizations, Springer, vol. 3(4), pages 335-350, December.
    13. Shipra Agrawal & Erick Delage & Mark Peters & Zizhuo Wang & Yinyu Ye, 2009. "A Unified Framework for Dynamic Pari-Mutuel Information Market Design," Papers 0902.2429, arXiv.org.
    14. Chen, Shu-Heng, 2012. "Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 1-25.
    15. Urmee Khan & Robert Lieli, 2016. "Information Flow Between Prediction Markets, Polls and Media: Evidence from the 2008 Presidential Primaries," Working Papers 201610, University of California at Riverside, Department of Economics.
    16. David Court & Benjamin Gillen & Jordi McKenzie & Charles R. Plott, 2018. "Two information aggregation mechanisms for predicting the opening weekend box office revenues of films: Boxoffice Prophecy and Guess of Guesses," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(1), pages 25-54, January.
    17. repec:oup:restud:v:82:y:2015:i:4:p:1309-1341. is not listed on IDEAS
    18. Coulomb, Renaud & Sangnier, Marc, 2014. "The impact of political majorities on firm value: Do electoral promises or friendship connections matter?," Journal of Public Economics, Elsevier, vol. 115(C), pages 158-170.
    19. Robert Hahn & Paul Tetlock, 2006. "A New Approach for Regulating Information Markets," Journal of Regulatory Economics, Springer, vol. 29(3), pages 265-281, May.
    20. Acker, Daniella & Duck, Nigel W., 2015. "Political risk, investor attention and the Scottish Independence referendum," Finance Research Letters, Elsevier, vol. 13(C), pages 163-171.
    21. Rothschild, David, 2015. "Combining forecasts for elections: Accurate, relevant, and timely," International Journal of Forecasting, Elsevier, vol. 31(3), pages 952-964.
    22. Keller, Jonas & von der Gracht, Heiko A., 2014. "The influence of information and communication technology (ICT) on future foresight processes — Results from a Delphi survey," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 81-92.
    23. Tideman, T. Nicolaus & Plassmann, Florenz, 2010. "Pricing externalities," European Journal of Political Economy, Elsevier, vol. 26(2), pages 176-184, June.
    24. Rajiv Sethi & Jennifer Wortman Vaughan, 2016. "Belief Aggregation with Automated Market Makers," Computational Economics, Springer;Society for Computational Economics, vol. 48(1), pages 155-178, June.
    25. Camerer, Colin & Dreber, Anna & Forsell, Eskil & Ho, Teck-Hua & Huber, Jurgen & Johannesson, Magnus & Kirchler, Michael & Almenberg, Johan & Altmejd, Adam & Chan, Taizan & Heikensten, Emma & Holzmeist, 2016. "Evaluating replicability of laboratory experiments in Economics," MPRA Paper 75461, University Library of Munich, Germany.

    More about this item

    JEL classification:

    • C - Mathematical and Quantitative Methods

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:expchp:5-80. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevierdirect.com/product.jsp?isbn=9780444826428 .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.