Computing 3SLS Solutions of Simultaneous Equation Models with a Possible Singular Variance-Covariance Matrix
AbstractIn simultaneous equation models (SEMs) the assumption that the covariance matrix of the disturbances is non-singular cannot always be made. For example, allocation models and models with precise observations which may imply linear constraints on the parameters, have singular disturbance covariance matrix. The solution of such models can be obtained using the expensive computation of generalized inverse which can lead to loss of accuracy. The main motivation of this work is to provide computational strategies for solving an alternative formulation of the 3SLS estimation problem, where the disturbance covariance matrix is not required to be non- singular.
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Bibliographic InfoArticle provided by Society for Computational Economics in its journal Computational Economics.
Volume (Year): 10 (1997)
Issue (Month): 3 (August)
Other versions of this item:
- Erricos J. Kontoghiorghes, . "Computing 3SLS Solutions of Simultaneous Equation Models with Possible Singular Variance-Covariance Matrix," Computing in Economics and Finance 1996 _032, Society for Computational Economics.
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- Belsley, David A, 1992. "Paring 3SLS Calculations Down to Manageable Proportions," Computer Science in Economics & Management, Society for Computational Economics, vol. 5(3), pages 157-69, August.
- Foschi, Paolo & Belsley, David A. & Kontoghiorghes, Erricos J., 2003. "A comparative study of algorithms for solving seemingly unrelated regressions models," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 3-35, October.
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