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Mathematical Social Sciences
Article . 2023 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 2023
Data sources: zbMATH Open
DBLP
Article . 2024
Data sources: DBLP
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On the measurement of electoral volatility

Authors: Sandip Sarkar; Bharatee Bhusana Dash;

On the measurement of electoral volatility

Abstract

This paper introduces an axiomatic approach to the measures of electoral volatility between two consecutive elections, when these measures depend on the number of competing parties and the absolute value of the change in vote shares of the parties. The mathematical results on inequalities are in the basis of the theoretical developments. A one-parameter family of electoral volatility indices, based on \textit{M. N. Pedersen}'s [Eur. J. Polit. Res. 7, No. 1, 1--26 (1979; \url{doi:10.1111/j.1475-6765.1979.tb01267.x})] volatility measure, is defined. The electoral volatility measures satisfying a set of axioms (including additive separability) are characterized as those equivalent to some member of this family. Two quasi orders which permit ranking two party systems according to a class of electoral volatility indices satisfying certain axioms are studied. Finally, applications of the theoretical results to Indian state elections are considered.

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Keywords

electoral volatility, inequalities, axioms, Voting theory, Pedersen's volatility measure, quasi orders, History, political science

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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