A Cross-National Measure of Electoral Competitiveness

Транснациональная мера электоральной конкурентности
Mark Andreas Lindst Auml Dt Kayser, René Lindstädt
2015-01-01

cross-national measuredeveloped democracieselectoral competitivenesselectoral riskvote volatility
Electoral competitiveness is a key explanatory construct across a broad swath of phenomena, finding application in diverse areas related to political incentives and behavior. Despite its frequent theoretical use, no valid measure of electoral competitiveness exists that applies across different electoral and party systems. We argue that one particular type of electoral competitiveness'electoral risk'can be estimated across institutional contexts and matters most for incumbent behavior. We propose, estimate, and make available a cross-nationally applicable measure for elections in 22 developed democracies between 1960 and 2011. Unlike extant alternatives, our measure captures vote volatility and is constructed at the party (not system) level, exogenous to most policy predictors, and congruent with the perceptions and incentives of policy-makers.
1
Existing measures do not validly capture electoral competitiveness across different electoral and party systems.
2
It develops and estimates a publicly available cross-national measure of electoral risk covering elections in 22 developed democracies from 1960 to 2011.
3
The measure is largely exogenous to policy predictors and aligns with policymakers’ perceptions and incentives.
4
The paper argues that electoral risk—rather than competitiveness generally—is the cross-institutionally comparable dimension most relevant to incumbent behavior.
5
Unlike previous measures, the indicator incorporates vote volatility and is constructed at the party level rather than the electoral-system level.

elections in 22 developed democracies between 1960 and 2011

electoral risk as a cross-national measure of electoral competitiveness, capturing party-level vote volatility and incumbent incentives across electoral and party systems

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2015-01-01
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Mark Andreas Lindst Auml Dt Kayser
René Lindstädt
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