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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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Bibliographic Info

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 18222.

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Date of creation: Jul 2012
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Handle: RePEc:nbr:nberwo:18222

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References

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  1. Erik Snowberg & Justin Wolfers & Eric Zitzewitz, 2011. "How Prediction Markets Can Save Event Studies," NBER Working Papers 16949, National Bureau of Economic Research, Inc.
  2. 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.
  3. 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.
  4. Plott, Charles R & Sunder, Shyam, 1982. "Efficiency of Experimental Security Markets with Insider Information: An Application of Rational-Expectations Models," Journal of Political Economy, University of Chicago Press, vol. 90(4), pages 663-98, August.
  5. 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.
  6. 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.
  7. Justin Wolfers & Eric Zitzewitz, 2006. "Interpreting Prediction Market Prices as Probabilities," NBER Working Papers 12200, National Bureau of Economic Research, Inc.
  8. 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.
  9. Snowberg, Erik & Wolfers, Justin, 2010. "Explaining the Favorite-Longshot Bias: Is it Risk-Love or Misperceptions?," IZA Discussion Papers 4884, Institute for the Study of Labor (IZA).
  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. 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.
  12. Erik Snowberg & Justin Wolfers & Eric Zitzewitz, 2006. "Partisan Impacts on the Economy: Evidence from Prediction Markets and Close Elections," NBER Working Papers 12073, National Bureau of Economic Research, Inc.
  13. 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.
  14. Plott, Charles R & Sunder, Shyam, 1988. "Rational Expectations and the Aggregation of Diverse Information in Laboratory Security Markets," Econometrica, Econometric Society, vol. 56(5), pages 1085-1118, September.
  15. G�ran Therborn & K.C. Ho, 2009. "Introduction," City, Taylor & Francis Journals, vol. 13(1), pages 53-62, March.
  16. Colin Camerer, 1998. "Can asset markets be manipulated? A field experiment with racetrack betting," Natural Field Experiments 00222, The Field Experiments Website.
  17. 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.
  18. Bakshi, Gurdip & Madan, Dilip, 2000. "Spanning and derivative-security valuation," Journal of Financial Economics, Elsevier, vol. 55(2), pages 205-238, February.
  19. Gürkaynak, Refet S. & Wolfers, Justin, 2006. "Macroeconomic Derivatives: An Initial Analysis of Market-Based Macro Forecasts, Uncertainty and Risk," CEPR Discussion Papers 5466, C.E.P.R. Discussion Papers.
  20. Steven Gjerstad, 2004. "Risk Aversion, Beliefs, and Prediction Market Equilibrium," Microeconomics 0411002, EconWPA.
  21. 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.
  22. West, K.D., 1994. "Asymptotic Inference About Predictive Ability," Working papers 9417, Wisconsin Madison - Social Systems.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
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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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