A robust method for simulating forward-looking models

被引:12
作者
Armstrong, J
Black, R [1 ]
Laxton, D
Rose, D
机构
[1] Bank Canada, Ottawa, ON K1A 0G9, Canada
[2] STAT Canada, Ottawa, ON K1A 0T6, Canada
[3] Int Monetary Fund, Washington, DC 20431 USA
[4] QED Solut, Ottawa, ON K1S 3M5, Canada
关键词
computational techniques; expectations; Fair-Taylor; Newton; simulation;
D O I
10.1016/S0165-1889(97)00081-X
中图分类号
F [经济];
学科分类号
02 ;
摘要
Methods of computing the type II iterations involved in extended path algorithms for the solution of economic models with forward-looking expectations are described. Particular attention is directed at a method involving the application of a Newton algorithm to a 'stacked' equation system that includes a separate equation for each endogeneous variable at each time point. Analytical results that establish convergence properties for linear models are presented. Both the analytical results and empirical comparisons of the stacked Newton method and the popular Fair-Taylor approach indicate that the stacked Newton method is a viable alternative for medium-sized economic models. (C) 1998 Published by Elsevier Science B.V. All rights reserved.
引用
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页码:489 / 501
页数:13
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