Stanford GSB Research Paper No. 1854
28 Pages Posted: 30 Jun 2004
Date Written: April 2004
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.
Keywords: Idea futures, forecasting, economic policy, information markets, prediction markets, policy evaluation, macroeconomics, microeconomics, public policy
JEL Classification: D7, D8, E3, E6, G1, H8, Q4
Suggested Citation: Suggested Citation
Wolfers, Justin and Zitzewitz, Eric, Prediction Markets (April 2004). Stanford GSB Research Paper No. 1854. Available at SSRN: https://ssrn.com/abstract=560070 or http://dx.doi.org/10.2139/ssrn.560070