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Prediction Markets for Economic Forecasting

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  • Erik Snowberg
  • Justin Wolfers
  • Eric Zitzewitz

Abstract

Prediction markets - markets used to forecast future events - have been used to accurately forecast the outcome of political contests, sporting events, and, occasionally, economic outcomes. This chapter summarizes the latest research on prediction markets in order to further their utilization by economic forecasters. We show that prediction markets have a number of attractive features: they quickly incorporate new information, are largely efficient, and impervious to manipulation. Moreover, markets generally exhibit lower statistical errors than professional forecasters and polls. Finally, we show how markets can be used to both uncover the economic model behind forecasts, as well as test existing economic models.

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File URL: http://www.cesifo-group.de/portal/page/portal/DocBase_Content/WP/WP-CESifo_Working_Papers/wp-cesifo-2012/wp-cesifo-2012-07/cesifo1_wp3884.pdf
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Bibliographic Info

Paper provided by CESifo Group Munich in its series CESifo Working Paper Series with number 3884.

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Date of creation: 2012
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Handle: RePEc:ces:ceswps:_3884

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Keywords: prediction markets; forecasting;

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References

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  1. Plott, Charles R. & Sunder, Shyam., . "Rational Expectations and the Aggregation of Diverse Information in Laboratory Security Markets," Working Papers 463, California Institute of Technology, Division of the Humanities and Social Sciences.
  2. Plott, Charles R. & Sunder, Shyam., . "Efficiency of Experimental Security Markets with Insider Information: An Application of Rational Expectations Models," Working Papers 331, California Institute of Technology, Division of the Humanities and Social Sciences.
  3. West, Kenneth D, 1996. "Asymptotic Inference about Predictive Ability," Econometrica, Econometric Society, vol. 64(5), pages 1067-84, September.
  4. Joyce E. Berg & George R. Neumann & Thomas A. Rietz, 2009. "Searching for Google's Value: Using Prediction Markets to Forecast Market Capitalization Prior to an Initial Public Offering," Management Science, INFORMS, vol. 55(3), pages 348-361, March.
  5. Refet Gurkaynak & Justin Wolfers, 2006. "Macroeconomic Derivatives: An Initial Analysis of Market-Based Macro Forecasts, Uncertainty, and Risk," NBER Working Papers 11929, National Bureau of Economic Research, Inc.
  6. Erik Snowberg & Justin Wolfers & Eric Zitzewitz, 2006. "Partisan impacts on the economy: evidence from prediction markets and close elections," Working Paper Series 2006-08, Federal Reserve Bank of San Francisco.
  7. Bruno Jullien & Bernard Salanié, 1997. "Estimating Preferences under Risk : The Case of Racetrack Bettors," Working Papers 97-39, Centre de Recherche en Economie et Statistique.
  8. Snowberg, Erik & Wolfers, Justin & Zitzewitz, Eric, 2011. "How Prediction Markets Can Save Event Studies," CEPR Discussion Papers 8351, C.E.P.R. Discussion Papers.
  9. Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-63, July.
  10. Robin Hanson & Ryan Oprea, 2009. "A Manipulator Can Aid Prediction Market Accuracy," Economica, London School of Economics and Political Science, vol. 76(302), pages 304-314, 04.
  11. Hanson, Robin & Oprea, Ryan & Porter, David, 2006. "Information aggregation and manipulation in an experimental market," Journal of Economic Behavior & Organization, Elsevier, vol. 60(4), pages 449-459, August.
  12. Justin Wolfers & Eric Zitzewitz, 2006. "Interpreting Prediction Market Prices as Probabilities," NBER Working Papers 12200, National Bureau of Economic Research, Inc.
  13. Colin F. Camerer, 1998. "Can Asset Markets Be Manipulated? A Field Experiment with Racetrack Betting," Journal of Political Economy, University of Chicago Press, vol. 106(3), pages 457-482, June.
  14. Steven Gjerstad, 2004. "Risk Aversion, Beliefs, and Prediction Market Equilibrium," Microeconomics 0411002, EconWPA.
  15. Erik Snowberg & Justin Wolfers, 2010. "Explaining the Favorite-Longshot Bias: Is it Risk-Love or Misperceptions?," CESifo Working Paper Series 3029, CESifo Group Munich.
  16. Pedro Santa-Clara & Rossen Valkanov, 2003. "The Presidential Puzzle: Political Cycles and the Stock Market," Journal of Finance, American Finance Association, vol. 58(5), pages 1841-1872, October.
  17. Arrow, Kenneth J. & Forsythe, Robert & Gorham, Michael & Hahn, Robert W. & Hanson, Robin & Ledyard, John O. & Levmore, Saul & Litan, Robert E. & Milgrom, Paul & Nelson, Forrest D. & Neumann, George R., 2008. "The Promise of Prediction Markets," Working paper 460, Regulation2point0.
  18. Andrew Leigh & Justin Wolfers & Eric Zitzewitz, 2003. "What Do Financial Markets Think of War in Iraq?," NBER Working Papers 9587, National Bureau of Economic Research, Inc.
  19. David Laster & Paul Bennett & In Sun Geoum, 1999. "Rational Bias In Macroeconomic Forecasts," The Quarterly Journal of Economics, MIT Press, vol. 114(1), pages 293-318, February.
  20. Harvey, David I & Leybourne, Stephen J & Newbold, Paul, 1998. "Tests for Forecast Encompassing," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 254-59, April.
  21. Jim Lavoie, 2009. "The Innovation Engine at Rite-Solutions: Lessons from the CEO," Journal of Prediction Markets, University of Buckingham Press, vol. 3(1), pages 1-11, April.
  22. Colin Camerer, 1998. "Can asset markets be manipulated? A field experiment with racetrack betting," Natural Field Experiments 00222, The Field Experiments Website.
  23. Tom W. Bell, 2009. "Private Prediction Markets and the Law," Journal of Prediction Markets, University of Buckingham Press, vol. 3(1), pages 89-110, April.
  24. Robin Hanson, 2007. "Logarithmic Market Scoring Rules for Modular Combinatorial Information Aggregation," Journal of Prediction Markets, University of Buckingham Press, vol. 1(1), pages 3-15, February.
  25. Georgios Tziralis & Ilias Tatsiopoulos, 2007. "Prediction Markets: An Extended Literature Review," Journal of Prediction Markets, University of Buckingham Press, vol. 1(1), pages 75-91, February.
  26. G�ran Therborn & K.C. Ho, 2009. "Introduction," City, Taylor & Francis Journals, vol. 13(1), pages 53-62, March.
  27. Bakshi, Gurdip & Madan, Dilip, 2000. "Spanning and derivative-security valuation," Journal of Financial Economics, Elsevier, vol. 55(2), pages 205-238, February.
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Cited by:
  1. Refet S. Gürkaynak & Jonathan H. Wright, 2013. "Identification and Inference Using Event Studies," Manchester School, University of Manchester, vol. 81, pages 48-65, 09.

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