Information Aggregation Mechanisms: Concept, Design and Implementation for a Sales Forecasting Problem

Information Aggregation Mechanisms are economics mechanisms designed explicitly for the purpose of collecting and aggregating information. The modern theory of rational expectations, together with the techniques and results of experimental economics, suggest that a set of properly designed markets can be a good information aggregation mechanism. The paper reports on the deployment of such an information aggregation mechanism inside Hewlett-Packard Corporation for the purpose of makings sales forecasts. Results who that IAMs performed better than traditional methods employed inside Hewlett-Packard. The structure of the mechanism, the methodology and the results are reported.

[1]  F. Hayek Individualism and Economic Order , 1949 .

[2]  C. Plott,et al.  Efficiency of Experimental Security Markets with Insider Information: An Application of Rational-Expectations Models , 1982, Journal of Political Economy.

[3]  C. Plott,et al.  Rational Expectations and the Aggregation of Diverse Information in Laboratory Security Markets , 1988 .

[4]  V. Smith,et al.  Bubbles, Crashes, and Endogenous Expectations in Experimental Spot Asset Markets , 1988 .

[5]  J. Kagel,et al.  A Comparison of Naive and Experienced Bidders in Common Value Offer Auctions: A Laboratory Analysis , 1989 .

[6]  C. Plott,et al.  The Winner's Curse: Experiments with Buyers and with Sellers , 1989 .

[7]  Russell J. Lundholm,et al.  Information Aggregation in an Experimental Market. , 1990 .

[8]  Robert Forsythe,et al.  Anatomy of an Experimental Political Stock Market , 1992 .

[9]  S. Sunder MARKET FOR INFORMATION: EXPERIMENTAL EVIDENCE' , 1992 .

[10]  Ronald R. King,et al.  The Robustness of Bubbles and Crashes in Experimental Stock Markets , 1993 .

[11]  Colin Camerer,et al.  Information Mirages in Experimental Asset Markets , 1993 .

[12]  B. Moldovanu,et al.  Understanding Strategic Interaction: Essays in Honor of Reinhard Selten , 2011 .

[13]  Thomas A. Rietz,et al.  What Makes Markets Predict Well? Evidence from the Iowa Electronic Markets , 1997 .

[14]  Charles A. Holt,et al.  Information Cascades in the Laboratory , 1998 .

[15]  J. Kagel,et al.  The Winner's Curse and Public Information in Common Value Auctions: Comment , 1999 .

[16]  Thomas A. Rietz,et al.  Wishes, expectations and actions: a survey on price formation in election stock markets , 1999 .

[17]  C. Plott Markets as Information Gathering Tools , 2000 .

[18]  C. Plott,et al.  Non-speculative Bubbles in Experimental Asset Markets: Lack of Common Knowledge of Rationality , 2001 .

[19]  C. Plott,et al.  Information Cascades: Replication and an Extension to Majority Rule and Conformity-Rewarding Institutions , 2001 .

[20]  C. Plott,et al.  NONSPECULATIVE BUBBLES IN EXPERIMENTAL ASSET MARKETS: LACK OF COMMON KNOWLEDGE OF RATIONALITY VS. ACTUAL IRRATIONALITY , 2001 .

[21]  V. Smith,et al.  Stock Market Bubbles in the Laboratory , 1994 .

[22]  Winston C. Yang,et al.  Parimutuel betting markets as information aggregation devices: experimental results , 2003 .