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https://doi.org/10.21034/sr.23...
Article . 1997 . Peer-reviewed
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https://doi.org/10.1093/019924...
Part of book or chapter of book . 2001 . Peer-reviewed
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Computation of Equilibria in Heterogeneous Agent Models

Authors: Jose-Victor Rios-Rull;

Computation of Equilibria in Heterogeneous Agent Models

Abstract

Abstract There are many questions in economics for which heterogeneous‐agent dynamic models (i.e. models populated by agents that are different from each other) have to be used to provide answers. The first such model presented is one with infinitely lived agents subject to uninsurable idiosyncratic shocks to earnings; a very simple version of such a model is used to address the distribution of wealth under both a steady state and a non‐steady state situation. The second type of model presented is the overlapping generations model, which represents the situation where every year some agents die and new agents are born; such models are embodied in a neoclassical growth model structure with capital accumulation. Once again, both steady state and non‐steady state situations are considered. Finishes with a section on dynamic voting models; these are models that endogenously generate government policies as part of a Markov equilibrium, and are starting to be used to study positive policy issues such as redistributional policies. All the models are posed in such a way that they are susceptible to computation, and in all of them, the different agents are central in the sense that the question that the models are used to answer requires heterogeneity.

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Econometric models

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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!
28
Average
Top 10%
Average