Prediction Markets: Does Money Matter?

By Emile Servan-Schreiber, Justin Wolfers, David M. Pennock, Brian Galebach. Electronic Markets, 2004

309 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Finance

View Paper: https://www.semanticscholar.org/paper/23b47bcd18d2dee0d2875cd4a4049d4b200205f8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Martin Spann
2. Anita Elberse
3. Bernd Skiera
4. Mirva Peltoniemi
5. Martin Schreier
6. Marine Le Gall-Ely
7. Franziska Voelckner

In Finance

1. Anita Elberse
2. Bernd Skiera
3. Martin Spann
4. Mirva Peltoniemi

Citations in the corpus

• Sports forecasting: a comparison of the forecast accuracy of prediction markets, betting odds and tipsters (2009, methodology): “…11,000 matches), it is substantially larger than those of studies analyzing the forecast accuracy of prediction markets (e.g., Jank and Foutz, 2007: 262 observations; Pennock et al., 2001: 161 observations; Servan-Schreiber et al., 2004: 208 observations; Spann and Skiera, 2003: 152 observations).”
• Co-Creation: Toward a Taxonomy and an Integrated Research Perspective (2010, unknown): “[93].”
• The Power of Stars: Do Star Actors Drive the Success of Movies? (2007, background): “Star Power and Movie Success / 105 2This fits with recent evidence that markets based on fake money can be just as accurate as those based on real money (e.g., Servan-Schreiber et al. 2004).”