Abstract

This paper examines variations on a baseline Fair-Taylor algorithm used to

solve multi-country, rational expectations models. One notable feature of

these variations is the ability to exploit small-scale distributed processing

t.sing a network of workstations or pes. Using fouf processors to solve MX-4

(152 endogenous variables), the largest speedup factor relative to Fair-Taylor

iB 59; for RE-7 (978 endogenous variables) the maximum speedup factor is

12.