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Parameterized Expectations Algorithm and the Moving Bounds

Bibliographic Data

ID19420216
AuthorsLILIA MALIAR (0000-0002-7109-7976, University of Alicante), SERGUEI MALIAR (0000-0002-8008-7147, University of Alicante)
Year2003
Volume21
Issue1
Pages88-92
Publication date2003-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Business and Economic Statistics (JOURNAL)
Journal identifiersISSN: 0735-0015 • E-ISSN: 1537-2707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1198/073500102288618793
OpenAlexW2085366451
LanguageEN
Citations received1
References cited5

The Parameterized Expectations Algorithm (PEA) is a powerful tool for solving nonlinear stochastic dynamic models. However, it has an important shortcoming: it is not a contraction mapping technique and thus does not guarantee a solution will be found. We suggest a simple modification that enhances the convergence property of the algorithm. The idea is to rule out the possibility of (ex)implosive behavior by artificially restricting the simulated series within certain bounds. As the solution is refined along the iterations, the bounds are gradually removed. The modified PEA can systematically converge to the stationary solution starting from the nonstochastic steady state

Algorithm · Mathematical optimization · Nonlinear system · Parameterized complexity · Advanced Thermodynamics and Statistical Mechanics · Complex Systems and Time Series Analysis · Computer Science · Economic theories and models · Mathematics · Applied Mathematics

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Unique citing works1
Citations per year0,07
Citation span2011 - 2011 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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