Simple reordering techniques for expanding the convergence radius of first-order iterative techniques
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References listed on IDEAS
- Gilli, Manfred, 1992. "Causal Ordering and Beyond," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(4), pages 957-971, November.
- Fisher, P G & Hughes Hallett, Andrew J, 1987. "The Convergence Characteristics of Iterative Techniques for," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 49(2), pages 231-244, May.
- Hallett, A. Hughes & Ma, Y. & Yin, Y. P., 1996. "Hybrid algorithms with automatic switching for solving nonlinear equation systems," Journal of Economic Dynamics and Control, Elsevier, vol. 20(6-7), pages 1051-1071.
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- Judd, Kenneth L., 2002.
"The parametric path method: an alternative to Fair-Taylor and L-B-J for solving perfect foresight models,"
Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1557-1583, August.
- Kenneth L. Judd, 2001. "Parametric Path Method: An alternative to Fair-Taylor and L-B-J for solving perfect foresight models," Computing in Economics and Finance 2001 112, Society for Computational Economics.
- Ludwig, Alexander, 2007. "The Gauss-Seidel-quasi-Newton method: A hybrid algorithm for solving dynamic economic models," Journal of Economic Dynamics and Control, Elsevier, vol. 31(5), pages 1610-1632, May.
- Gilli, Manfred & Pauletto, Giorgio, 1998. "Krylov methods for solving models with forward-looking variables," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1275-1289, August.
- Juillard, Michel & Laxton, Douglas & McAdam, Peter & Pioro, Hope, 1998. "An algorithm competition: First-order iterations versus Newton-based techniques," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1291-1318, August.
- Armstrong, John & Black, Richard & Laxton, Douglas & Rose, David, 1998. "A robust method for simulating forward-looking models," Journal of Economic Dynamics and Control, Elsevier, vol. 22(4), pages 489-501, April.
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