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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 Public Choicearrow_drop_down
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
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Article . 1994 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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A political theory of intergovernmental grants

Authors: Philip J. Grossman;

A political theory of intergovernmental grants

Abstract

This paper formulates a political theory of intergovernmental grants. A model of vote-maximizing federal politicians is developed. Grants are assumed to buy the support of state voters and the ‘political capital or resources’ of state politicians and interest groups which can be used to further increase the support of state voters for the federal politician. The model is tested for 49 states. Similarity of party affiliation between federal and state politicians and the size of the Democrat majority in the state legislature increases the per capita dollar amount of grants made to a state. Likewise, increases in both the size of the state bureaucracy and union membership lead to greater grants for a state. Over time, the importance of interest groups (bureaucracy and unions) has increased relative to political groups (state politicians).

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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!
115
Top 10%
Top 10%
Average
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