Computation of equilibria in OLG models with many heterogeneous households

This paper develops a decomposition algorithm by which a market economy with many households may be solved through the computation of equilibria for a sequence of representative agent economies. The paper examines local and global convergence properties of the sequential recalibration (SR) algorithm...

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Hauptverfasser: Rausch, Sebastian (VerfasserIn) , Rutherford, Thomas F. (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 10 June 2010
In: Computational economics
Year: 2010, Jahrgang: 36, Heft: 2, Pages: 171-189
ISSN:1572-9974
DOI:10.1007/s10614-010-9229-8
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1007/s10614-010-9229-8
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Verfasserangaben:Sebastian Rausch, Thomas F. Rutherford

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520 |a This paper develops a decomposition algorithm by which a market economy with many households may be solved through the computation of equilibria for a sequence of representative agent economies. The paper examines local and global convergence properties of the sequential recalibration (SR) algorithm. The SR algorithm is then demonstrated to efficiently solve Auerbach-Kotlikoff OLG models with a large number of heterogeneous households. We approximate equilibria in OLG models by solving a sequence of related Ramsey optimal growth problems. This approach can provide improvements in both efficiency and robustness as compared with integrated complementarity-based solution methods. 
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