Markets as Information Gathering Tools
By Charles R. Plott. 2000
187 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/d67025fec04d7592c67543a582ed8e1218f43f3a
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
- Kay-Yut Chen
- Robin D. Hanson
- Thomas A. Rietz
- F. Nelson
- Joyce E. Berg
- Charles R. Plott
- Nicolas Treich
- Olivier Armantier
Citations in the corpus
- Prediction market accuracy in the long run (2008, background): “…see Forsythe, Nelson, Neumann and Wright, 1992, and Berg, Forsythe, Nelson and Rietz, 2003 for more detailed descriptions), similar markets run in other countries (usually designed to predict election outcomes) and markets cited in Plott (2000) (designed to predict sales at a large corporation).”
- LOGARITHMIC MARKETS CORING RULES FOR MODULAR COMBINATORIAL INFORMATION AGGREGATION (2012, background): “Markets created within Hewlett-Packard Labs beat official corporate sales forecasts 6 out of 8 times, and tied the other time (Plott, 2000).”
- Results from a Dozen Years of Election Futures Markets Research (2008, background): “Forsythe, Nelson, Neumann and Wright (1992), Oliven and Rietz (1995) and Forsythe, Rietz and Ross (1999) all show that individual traders display considerable biases and often make mistakes in the largest and most accurate of the IEM markets.”
- Information Aggregation Mechanisms: Concept, Design and Implementation for a Sales Forecasting Problem (2002, methodology): “Arrow-Debreu securities were chosen as the instruments because of the aggregation success that they have exhibited in the laboratory (See Plott, 2000) for an example of the types of laboratory experiments that had been used to explore this issue.)”
- Accuracy and Forecast Standard Error of Prediction Markets (2003, background): “Plott (2000) shows that prediction markets can be used to accurately forecast sales for a company.”