Sequential Voting Procedures in Symmetric Binary Elections
AbstractWe explore sequential voting in symmetric two-option environments. We show that the (informative) symmetric equilibria of the simultaneous voting game are also equilibria in any sequential voting structure. In unanimity games, (essentially) the whole set of equilibria is the same in all sequential structures. We also explore the relationship between simultaneous and sequential voting in other contexts. We illustrate several instances where sequential voting does no better at aggregating information than simultaneous voting. The inability of the sequential structure to use additional information in voting models is distinct from that in the herd-cascade literature.
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Bibliographic InfoPaper provided by Tel Aviv in its series Papers with number 3-99.
Length: 26 pages
Date of creation: 1999
Date of revision:
Contact details of provider:
Postal: Israel TEL-AVIV UNIVERSITY, THE FOERDER INSTITUTE FOR ECONOMIC RESEARCH, RAMAT AVIV 69 978 TEL AVIV ISRAEL.
Web page: http://econ.tau.ac.il/research/foerder.asp
More information through EDIRC
ELECTIONS ; VOTING ; GAME THEORY;
Other versions of this item:
- Eddie Dekel & Michele Piccione, 2000. "Sequential Voting Procedures in Symmetric Binary Elections," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 34-55, February.
- Eddie Dekel & Michele Piccione, 1997. "On the Equivalence of Simultaneous and Sequential Binary Elections," Discussion Papers 1206, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
- D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
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- Hillier, G. & Armstrong, M., 1996. "On the density of the maximum likelihood estimator," Discussion Paper Series In Economics And Econometrics 9645, Economics Division, School of Social Sciences, University of Southampton.
- Grant Hillier & Mark Armstrong, 1999. "The Density of the Maximum Likelihood Estimator," Econometrica, Econometric Society, vol. 67(6), pages 1459-1470, November.
- Shephard, Neil, 1993. "Distribution of the ML Estimator of an MA(1) and a local level model," Econometric Theory, Cambridge University Press, vol. 9(03), pages 377-401, June.
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