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Econometrica Vol. 90 No. 5 2022

Full Information Equivalence in Large Elections

Paulo Barelli1; Sourav Bhattacharya2; Lucas Siga3

1 Department of Economics, University of Rochester · 2 Indian Institute of Management Calcutta · 3 Department of Economics, University of Essex

Abstract

We study the problem of aggregating private information in elections with two or more alternatives for a large family of scoring rules. We introduce a feasibility condition, the linear refinement condition , that characterizes when information can be aggregated asymptotically as the electorate grows large: there must exist a utility function, linear in distributions over signals, sharing the same top alternative as the primitive utility function. Our results complement the existing work where strong assumptions are imposed on the environment, and caution against potential false positives when too much structure is imposed.

DOI
10.3982/ecta16376
Volume
90
Issue
5
Pages
2161-2185
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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