Precision performances of terminal conditions for short time horizons forward-looking systems
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.
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- 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.
- John B. Taylor & Harald Uhlig, 1989. "Solving Nonlinear Stochastic Growth Models: A Comparison of Alternative Solution Methods," NBER Working Papers 3117, National Bureau of Economic Research, Inc.
- 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.
- 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.
- 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.
- 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. Full references (including those not matched with items on IDEAS)
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