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Article
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The Review of Economic Studies
Article . 1994 . Peer-reviewed
Data sources: Crossref
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Accuracy in Simulations

Accuracy in simulations
Authors: Wouter J. den Haan; Albert Marcet;

Accuracy in Simulations

Abstract

it is useful to have criteria for judging the accuracy of a given numerical solution. In this paper we propose a test for accuracy that is easy to implement and can be applied to a wide class of models without knowledge of the exact solution. We discuss the power of the test by simulating several models with the linear-quadratic approximation and with the method of parameterized expectations. We conclude that the test is powerful.

Country
Spain
Keywords

Economic growth models, Macroeconomics and International Economics, Applications of statistics to economics, Probabilistic models, generic numerical methods in probability and statistics

  • BIP!
    Impact byBIP!
    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).
    139
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
139
Top 10%
Top 1%
Top 10%
Green