A Methods Note on the Gauss-Seidel Algorithm for Solving Econometric Models

A particular numerical analytical technique for solving systems of simultaneous equations which offers several advantages to the user over other numerical techniques is discussed. The Gauss-Seidel algorithm is simply an iterative technique which requires no derivatives, matrix inversion, eigenvalue computation, or any other sophisticated numerical methodology. While the technique has been used successfully by a few large scale model builders and by the authors for several commodity models, the experience gained in the use of the technique has not been generally disseminated. Obtaining convergence with such an iterative technique is critically dependent on a number of factors which are taken up in some detail by the authors.


Issue Date:
1973-07
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/147150
Published in:
Agricultural Economics Research, Volume 25, Number 3
Page range:
71-80
Total Pages:
11




 Record created 2017-04-01, last modified 2017-08-27

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