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Precision performances of terminal conditions for short time horizons forward-looking systems

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  • Boucekkine, Raouf
  • Juillard, Michel
  • Malgrange, Pierre

Abstract

In this paper, we investigate both theoretically and empirically the numerical bias due to the truncation of structurally infinite time forward-Iooking models, by the means of various terminal conditions. We shed light on the difficulties of numerical control using the latter instrurnents, and recornrnend a prior investigation of the individual dynamics generated by each variable of the models under consideration.

Suggested Citation

  • Boucekkine, Raouf & Juillard, Michel & Malgrange, Pierre, 1995. "Precision performances of terminal conditions for short time horizons forward-looking systems," UC3M Working papers. Economics 3909, Universidad Carlos III de Madrid. Departamento de Economía.
    • Handle: RePEc:cte:werepe:3909
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    References listed on IDEAS

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    1. Le Van Cuong & Malgrange Pierre, 1986. "Hiérarchie temporelle dans un modèle macroéconomique. application à une maquette du modèle metric," CEPREMAP Working Papers (Couverture Orange) 8625, CEPREMAP.
    2. Laffargue, Jean-Pierre & Malgrange, Pierre & Pujol, Thierry, 1992. "Une maquette trimestrielle de l’économie française avec anticipations rationnelles et concurrence monopolistique," L'Actualité Economique, Société Canadienne de Science Economique, vol. 68(1), pages 225-261, mars et j.
    3. Boucekkine, Raouf, 1993. "Terminal conditions as efficent instruments for numerical detection of the saddlepoint paths: a linear algebra non-robustness argument," UC3M Working papers. Economics 2898, Universidad Carlos III de Madrid. Departamento de Economía.
    4. Hall, S G, 1985. "On the Solution of Large Economic Models with Consistent Expectations," Bulletin of Economic Research, Wiley Blackwell, vol. 37(2), pages 157-161, May.
    5. Taylor, John B & Uhlig, Harald, 1990. "Solving Nonlinear Stochastic Growth Models: A Comparison of Alternative Solution Methods," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(1), pages 1-17, January.
    6. Loufir, Rahim & Malgrange, Pierre, 1994. "Long run of macroeconometric models (the) : the case of multimod," CEPREMAP Working Papers (Couverture Orange) 9413, CEPREMAP.
    7. 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.
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    Cited by:

    1. Juillard, Michel, 1996. "Dynare : a program for the resolution and simulation of dynamic models with forward variables through the use of a relaxation algorithm," CEPREMAP Working Papers (Couverture Orange) 9602, CEPREMAP.

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