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License: CC BY NC SA
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European Economic Review
Article . 2021 . Peer-reviewed
License: Elsevier TDM
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SSRN Electronic Journal
Article . 2020 . Peer-reviewed
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Theft in Equilibrium

Authors: Casilda Lasso de la Vega; Oscar Volij; Federico Weinschelbaum;

Theft in Equilibrium

Abstract

Abstract We incorporate theft into the standard partial equilibrium model. We focus on two scenarios, one in which the whole wealth is subject to theft, and another in which only final goods are stealable. There are major differences between the two scenarios. In the first one, a policy that increases output reduces crime, which is not necessarily so in the second one. In the first model, public police protection reduces crime, but in the second one it may very well increase it. In the first model, the competitive equilibrium allocates private police efficiently conditional on the crime rate, but does not in the second model. The differences are due to the fact that while in both models output markets affect crime, only in the second model does crime affect output markets.

Country
Argentina
Keywords

POLICE, https://purl.org/becyt/ford/5.2, https://purl.org/becyt/ford/5, THEFT, CRIME, APPROPRIATION, ECONOMIC EQUILIBRIUM

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Powered by OpenAIRE graph
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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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