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Interpreting Prediction Market Prices as Probabilities

Justin Wolfers () and Eric Zitzewitz ()

No 12200, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: While most empirical analysis of prediction markets treats prices of binary options as predictions of the probability of future events, Manski (2004) has recently argued that there is little existing theory supporting this practice. We provide relevant analytic foundations, describing sufficient conditions under which prediction markets prices correspond with mean beliefs. Beyond these specific sufficient conditions, we show that for a broad class of models prediction market prices are usually close to the mean beliefs of traders. The key parameters driving trading behavior in prediction markets are the degree of risk aversion and the distribution of beliefs, and we provide some novel data on the distribution of beliefs in a couple of interesting contexts. We find that prediction markets prices typically provide useful (albeit sometimes biased) estimates of average beliefs about the probability an event occurs.

JEL-codes: D4 D8 G13 (search for similar items in EconPapers)
Date: 2006-05
New Economics Papers: this item is included in nep-fin, nep-fmk and nep-rmg
Note: AP EFG
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Related works:
Working Paper: Interpreting Prediction Market Prices as Probabilities (2006) Downloads
Working Paper: Interpreting prediction market prices as probabilities (2006) Downloads
Working Paper: Interpreting Prediction Market Prices as Probabilities (2006) Downloads
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