Rational Exaggeration in Information Aggregation Games
AbstractThis paper studies a class of information aggregation models which we call â€œaggregation games.â€ It departs from the related literature in two main respects: information is aggregated by averaging rather than majority rule, and each player selects from a continuum of reports rather than making a binary choice. Each member of a group receives a private signal, then submits a report to the center, who makes a decision based on the average of these reports. The essence of an aggregation game is that heterogeneous players engage in a â€œtug-of-war,â€ as they attempt to manipulate the centerâ€™s decision process by mis-reporting their private information. When players have distinct biases, almost of them rationally exaggerate the extent of these biases. The degree of exaggeration increases with the number of players: if the game is sufficiently large, then almost all players exaggerate to the maximum admissible extent, regardless of their individual signals. In the limit, the connection between playersâ€™ private information and the outcome of the game is obliterated.
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Bibliographic InfoPaper provided by Department of Agricultural & Resource Economics, UC Berkeley in its series Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series with number qt9nc4n5s6.
Date of creation: 02 Oct 2008
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information aggregation; majority rule; proportional representation; mean versus median mechanism; strategic communication; incomplete information games; strategic information transmission; Social and Behavioral Sciences;
Other versions of this item:
- Rausser, Gordon C. & Simon, Leo K. & Zhao, Jinhua, 2008. "Rational exaggeration in information aggregation games," CUDARE Working Paper Series 1067, University of California at Berkeley, Department of Agricultural and Resource Economics and Policy.
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Vijay Krishna & John Morgan, 2001.
"A Model Of Expertise,"
The Quarterly Journal of Economics,
MIT Press, vol. 116(2), pages 747-775, May.
- Vijay Krishna & John Morgan, 1999. "A Model of Expertise," Game Theory and Information 9902003, EconWPA.
- Vijay Krishna & John Morgan, 1999. "A Model of Expertise," Working Papers 154, Princeton University, Woodrow Wilson School of Public and International Affairs, Discussion Papers in Economics..
- Krishna, V. & Morgan, J., 1999. "A Model of Expertise," Papers 206, Princeton, Woodrow Wilson School - Public and International Affairs.
- John Morgan & Phillip C. Stocken, 2008. "Information Aggregation in Polls," American Economic Review, American Economic Association, vol. 98(3), pages 864-96, June.
- Milgrom, Paul & Shannon, Chris, 1994.
"Monotone Comparative Statics,"
Econometric Society, vol. 62(1), pages 157-80, January.
- Piketty, Thomas, 1999. "The information-aggregation approach to political institutions," European Economic Review, Elsevier, vol. 43(4-6), pages 791-800, April.
- Kiel, Alexandra & Gerling, Kerstin & Schulte, Elisabeth & Grüner, Hans Peter, 2003.
"Information acquisition and decision making in committees: a survey,"
Working Paper Series
0256, European Central Bank.
- Gerling, Kerstin & Gruner, Hans Peter & Kiel, Alexandra & Schulte, Elisabeth, 2005. "Information acquisition and decision making in committees: A survey," European Journal of Political Economy, Elsevier, vol. 21(3), pages 563-597, September.
- Timothy Feddersen & Wolfgang Pesendorfer, 1997.
"Voting Behavior and Information Aggregation in Elections with Private Information,"
Econometric Society, vol. 65(5), pages 1029-1058, September.
- Timothy Feddersen & Wolfgang Pesendorfer, 1997. "Voting Behavior and Information Aggregation in Elections With Private Information," Levine's Working Paper Archive 1560, David K. Levine.
- Timothy Feddersen & Wolfgang Pesendorfer, 1994. "Voting Behavior and Information Aggregation in Elections with Private Information," Discussion Papers 1117, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Ronny Razin, 2003. "Signaling and Election Motivations in a Voting Model with Common Values and Responsive Candidates," Econometrica, Econometric Society, vol. 71(4), pages 1083-1119, 07.
- Gruner, Hans Peter & Kiel, Alexandra, 2004. "Collective decisions with interdependent valuations," European Economic Review, Elsevier, vol. 48(5), pages 1147-1168, October.
- Athey, S., 1997.
"Sigle Crossing Properties and the Existence of Pure Strategy Equilibria in Games of Incomplete Information,"
97-11, Massachusetts Institute of Technology (MIT), Department of Economics.
- Athey, Susan, 2001. "Single Crossing Properties and the Existence of Pure Strategy Equilibria in Games of Incomplete Information," Econometrica, Econometric Society, vol. 69(4), pages 861-89, July.
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