2018
DOI: 10.2139/ssrn.3183959
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Full Information Equivalence in Large Elections

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Cited by 11 publications
(9 citation statements)
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“…A similar problem is identi…ed by Bhattacharya (2013), who observes the necessity of preference monotonicity for information aggregation; see also Bhattacharya (2018) and Ali, Mihm, and Siga (2017). Barelli, Bhattacharya, and Siga (2018) study what conditions on the joint distributions of states and voters'signals make information aggregation feasible with two or more alternatives. Bouton and Castanheira (2012) show that, in a Poisson election with more than two alternatives, information aggregation fails with most voting rules except for approval voting.…”
mentioning
confidence: 87%
“…A similar problem is identi…ed by Bhattacharya (2013), who observes the necessity of preference monotonicity for information aggregation; see also Bhattacharya (2018) and Ali, Mihm, and Siga (2017). Barelli, Bhattacharya, and Siga (2018) study what conditions on the joint distributions of states and voters'signals make information aggregation feasible with two or more alternatives. Bouton and Castanheira (2012) show that, in a Poisson election with more than two alternatives, information aggregation fails with most voting rules except for approval voting.…”
mentioning
confidence: 87%
“…As the negative message mentioned above is led by the impossibility of revealing the inconsistent type, this paper contributes to two other fields: (i) the field of mechanism design that focuses on communication constraints (e.g. Blumrosen andFeldman 2013, Van Zandt 2007), (ii) the field of information aggregation focusing on the consequences of mismatch of type and state spaces (e.g., Schmitz and Tröger 2012, Barelli, Bhattacharya and Siga 2018, Bozbay and Peters 2018. The analysis of the benchmark case is relevant and of particular interest, and I propose abstention as a way to escape from the impossibility.…”
Section: The Case Of Jointly Distributed Private Informationmentioning
confidence: 99%
“…In that sense, Section 3 of this paper contributes to the literature which studies the effects of relative richness of signal and state spaces to information aggregation; see, e.g.,Schmitz and Tröger (2012),Barelli, Bhattacharya and Siga (2018) andBozbay and Peters (2018). In each of these papers, an efficient Bayesian Nash equilibrium in truthful strategies does not generally exist, though each considers a very different model than the current paper's.3 A quota rule decides on each issue according to whether the number of 'yes' judgments on the issue exceeds a particular quota.…”
mentioning
confidence: 98%
“…A similar problem is identified by Bhattacharya (2013), who observes the necessity of preference monotonicity for information aggregation; see also Bhattacharya (2018) and Ali et al (2017). Barelli et al (2018) study what conditions on the joint distributions of states and voters' signals make information aggregation feasible with two or more alternatives. Bouton and Castanheira (2012) show that, in a Poisson election with more than two alternatives, information aggregation fails with most voting rules except for approval voting.…”
mentioning
confidence: 99%