We analyze the extent to which simple markets can be used to aggregate disperse information into efficient forecasts of uncertain future events. Drawing together data from a range of prediction contexts, we show that market-generated forecasts are typically fairly accurate, and that they outperform most moderately sophisticated benchmarks. Carefully designed contracts can yield insight into the market’s expectations about probabilities, means and medians, and also uncertainty about these parameters. Moreover, conditional markets can effectively reveal the market’s beliefs about regression coefficients, although we still have the usual problem of disentangling correlation from causation. We discuss a number of market design issues and highlight domains in which prediction markets are most likely to be useful.
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Paper provided by Stanford University, Graduate School of Business in its series Research Papers with number
1854.
Justin Wolfers & Eric Zitzewitz, 2004.
"Prediction Markets,"
NBER Working Papers
10504, National Bureau of Economic Research, Inc.
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Shleifer, Andrei & Vishny, Robert W, 1997.
" The Limits of Arbitrage,"
Journal of Finance,
American Finance Association, vol. 52(1), pages 35-55, March.
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