Minimum Weighted Residual Methods in Endogeneous Growth Models

Michal Kejak ()

Development and Comp Systems from University Library of Munich, Germany

Abstract: The paper deals with the application of Minimum Weighted Residual Methods (MWR) in intertemporal optimizing models of endogenous economic growth. In the 1st part of the paper the basics of the MWR method are described. Attention is mainly concentrated on one special class of MWR methods: the orthogonal collocation method with the Chebyshev polynomial basis. The second part of the paper is devoted to the setup of a model of endogenous growth with human capital accumulation and the government sector and to the derivation of 1st order conditions which form a Two- Point-Boundary-Value problem. A transformation of the problem which eliminates the growth in variables is then presented and the MWR method is used to solve the model for some policy experiments.

Keywords: Numerical methods; Growth; Business Cycles; Computational Software (search for similar items in EconPapers)
JEL-codes: C63 E32 O41 (search for similar items in EconPapers)
Pages: 16 pages
Date: 2001-02-19
Note: Type of Document - Acrobat PDF; pages: 16 ; figures: Included
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Citations: View citations in EconPapers (1)

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https://econwpa.ub.uni-muenchen.de/econ-wp/dev/papers/0012/0012013.pdf (application/pdf)

Related works:
Working Paper: Minimum Weighted Residual Methods in Endogeneous Growth Models (2000)
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Persistent link: https://EconPapers.repec.org/RePEc:wpa:wuwpdc:0012013

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