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The Journal of Law and Economics
Article . 2009 . Peer-reviewed
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Fiscal Consequences of Electoral Institutions

Authors: Christopher R. Berry; Jacob E. Gersen;

Fiscal Consequences of Electoral Institutions

Abstract

Abstract There are more than 500,000 elected local government officials in the United States. The most electorally dense county has more than 20 times the average number of elected officials per capita. This paper offers the first systematic investigation of the link between electoral density and fiscal outcomes. Electoral density presents a tradeoff between accountability and monitoring costs. Increasing the number of specialized elected offices promotes issue unbundling, reducing slack between citizen preferences and government policy; but the costs of monitoring a larger number of officials may offset these benefits, producing greater latitude for politicians to pursue their own goals at the expense of citizen interests. We predict diminishing returns to electoral density and a \documentclass{aastex} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{bm} \usepackage{mathrsfs} \usepackage{pifont} \usepackage{stmaryrd} \usepackage{textcomp} \usepackage{portland,xspace} \usepackage...

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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!
21
Top 10%
Top 10%
Top 10%
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