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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 using a network of workstations or PCs. Using four processors to solve MX-4 (152 endogenous variables), the largest speedup factor relative to Fair-Taylor is 59; for RE-7 (978 endogenous variables) the maximum speedup factor is 12.
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