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zbMATH Open
Article
Data sources: zbMATH Open
The Review of Economic Studies
Article . 1988 . Peer-reviewed
Data sources: Crossref
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The Multiperiod Principal-Agent Problem

The multiperiod principal-agent problem
Authors: Malcomson, J; Spinnewyn, F;

The Multiperiod Principal-Agent Problem

Abstract

Summary: In repeated principal-agent models, long-term contracts can improve on short-term contracts only if they commit either principal or agent to a payoof in some future circumstance lower than could be obtained from a short-term contract negotiated if that circumstance occurs. We show that efficient contracting under moral hazard alone does not require long-term commitment from the principal. Provided a short-term contract can punish the agent sufficiently (in a sense made precise), it requires no commitment from the agent either. Then linking payoffs in one period to outcomes in previous periods does not improve the tradeoff between incentives and risk sharing.

Country
United Kingdom
Related Organizations
Keywords

moral hazard, Hierarchical systems, Economic growth models, incentives, Production theory, theory of the firm, short-term contract, long-term contracts, risk sharing, repeated principal-agent models

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    influence
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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!
74
Top 10%
Top 1%
Top 10%
Green
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