Several authors have implemented computer code automating the application of perturbation methods for constructing solutions for dynamic economic models.\cite{sims01,chen99,collard,schmitt,judd98,anderson02} Such techniques facilitate the construction and use of nonlinear stochastic models for...

This paper describes an extension of the stack algorithm of Julliard, which makes it possible to (a) use any linear terminal condition, and (b) compute fixed points with the algorithm. Numerical results are presented for solving three different macroeconomic models including the Canada Model....

Anderson's papers describe a method for solving linear saddle point models. The numerical implementation of the algorithm has proved useful in a wide array of applications including analyzing linear perfect foresight models, and providing initial solutions and asymptotic constraints for...

Of the many studies analyzing the Federal Reserve's post-October 6, 1979 nonborrowed reserve (NBR) operating procedure, none has focused upon weekly money market dynamics under rational expectations. This paper employs the rational expectations assumption in an explicit institutional model of...