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Conference object . 2023
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Research . 2021
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Elections and Government Efficiency

Authors: Dorn, Florian;

Elections and Government Efficiency

Abstract

Politicians are expected to influence policy outcomes in a way to gain electoral advantage. There is, however, a pending question whether efficiency in the provision of public goods and services is affected by strategic behavior. I examine how electoral cycles influence local government efficiency by using OLS fixed effects, event study, and instrumental variable estimations in a large balanced panel of around 2,000 municipalities in the German state of Bavaria. Cost efficiency is estimated by employing a fixed effects semi-parametric stochastic frontier analysis. The results show that electoral cycles increase government efficiency in election and pre-election years by around 0.75- 0.85 %. The effect is larger when executive and council electoral cycles coincide, and when incumbent mayors run for office again. My findings suggest an efficiencyenhancing effect of elections at given institutional conditions.

Keywords

R50, instrumental variables, ddc:330, R15, Electoral cycle, panel data, D72, D73, efficiency, local government, H41, C14, C26, H70, event study, H72, stochastic frontier analysis (sfa), C23

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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!
0
Average
Average
Average
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