Solving Nonlinear Stochastic Growth Models: A Comparison of Alternative Solution Methods /
Taylor, John B.
Solving Nonlinear Stochastic Growth Models: A Comparison of Alternative Solution Methods / John B. Taylor, Harald Uhlig. - Cambridge, Mass. National Bureau of Economic Research 1989. - 1 online resource: illustrations (black and white); - NBER working paper series no. w3117 . - Working Paper Series (National Bureau of Economic Research) no. w3117. .
September 1989.
The purpose of this paper is to report on a comparison of several alternative numerical solution techniques for nonlinear rational expectations models. The comparison was made by asking individual researchers to apply their different solution techniques to a simple representative agent, optimal, stochastic growth model. Decision rules as well as simulated time series are compared. The differences among the methods turned out to be quite substantial for certain aspects of the growth model. Therefore, researchers might want to be careful not to rely blindly on the results of any chosen numerical solution method in applied work.
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Mode of access: World Wide Web.
Solving Nonlinear Stochastic Growth Models: A Comparison of Alternative Solution Methods / John B. Taylor, Harald Uhlig. - Cambridge, Mass. National Bureau of Economic Research 1989. - 1 online resource: illustrations (black and white); - NBER working paper series no. w3117 . - Working Paper Series (National Bureau of Economic Research) no. w3117. .
September 1989.
The purpose of this paper is to report on a comparison of several alternative numerical solution techniques for nonlinear rational expectations models. The comparison was made by asking individual researchers to apply their different solution techniques to a simple representative agent, optimal, stochastic growth model. Decision rules as well as simulated time series are compared. The differences among the methods turned out to be quite substantial for certain aspects of the growth model. Therefore, researchers might want to be careful not to rely blindly on the results of any chosen numerical solution method in applied work.
System requirements: Adobe [Acrobat] Reader required for PDF files.
Mode of access: World Wide Web.