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Krylov methods for solving models with forward-looking variables

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  • Gilli, Manfred
  • Pauletto, Giorgio

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  • 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.
    • Handle: RePEc:eee:dyncon:v:22:y:1998:i:8-9:p:1275-1289
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    References listed on IDEAS

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    1. Fair, Ray C & Taylor, John B, 1983. "Solution and Maximum Likelihood Estimation of Dynamic Nonlinear Rational Expectations Models," Econometrica, Econometric Society, vol. 51(4), pages 1169-1185, July.
    2. Hallett, A. J. Hughes & Piscitelli, Laura, 1998. "Simple reordering techniques for expanding the convergence radius of first-order iterative techniques," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1319-1333, August.
    3. Peter Hollinger, "undated". "The Stacked-Time Simulator in TROLL: A Robust Algorithm for Solving Forward-Looking Models," Computing in Economics and Finance 1996 _026, Society for Computational Economics.
    4. Gilli, Manfred & Pauletto, Giorgio, 1997. "Sparse direct methods for model simulation," Journal of Economic Dynamics and Control, Elsevier, vol. 21(6), pages 1093-1111, June.
    5. Boucekkine, Raouf, 1995. "An alternative methodology for solving nonlinear forward-looking models," Journal of Economic Dynamics and Control, Elsevier, vol. 19(4), pages 711-734, May.
    6. 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.
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    Cited by:

    1. Hallett, A. J. Hughes & Piscitelli, Laura, 1998. "Simple reordering techniques for expanding the convergence radius of first-order iterative techniques," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1319-1333, August.
    2. Bruha, Jan & Podpiera, Jirí & Polák, Stanislav, 2010. "The convergence dynamics of a transition economy: The case of the Czech Republic," Economic Modelling, Elsevier, vol. 27(1), pages 116-124, January.
    3. 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.
    4. N. B. Melnikov & A. P. Gruzdev & M. G. Dalton & M. Weitzel & B. C. O’Neill, 2021. "Parallel Extended Path Method for Solving Perfect Foresight Models," Computational Economics, Springer;Society for Computational Economics, vol. 58(2), pages 517-534, August.
    5. Binder, Michael & Pesaran, Hashem, 2000. "Solution of finite-horizon multivariate linear rational expectations models and sparse linear systems," Journal of Economic Dynamics and Control, Elsevier, vol. 24(3), pages 325-346, March.
    6. Stradi-Granados, Benito A. & Haven, Emmanuel, 2010. "The use of interval arithmetic in solving a non-linear rational expectation based multiperiod output-inflation process model: The case of the IN/GB method," European Journal of Operational Research, Elsevier, vol. 203(1), pages 222-229, May.
    7. Mrkaic, Mico, 2002. "Policy iteration accelerated with Krylov methods," Journal of Economic Dynamics and Control, Elsevier, vol. 26(4), pages 517-545, April.
    8. Brůha, Jan & Podpiera, Jiří, 2007. "Inquiries on dynamics of transition economy convergence in a two-country model," Working Paper Series 791, European Central Bank.
    9. Gilli, Manfred & Kellezi, Evis & Pauletto, Giorgio, 2002. "Solving finite difference schemes arising in trivariate option pricing," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1499-1515, August.
    10. Bajeux-Besnainou, Isabelle & Bandara, Wachindra & Bura, Efstathia, 2012. "A Krylov subspace approach to large portfolio optimization," Journal of Economic Dynamics and Control, Elsevier, vol. 36(11), pages 1688-1699.

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