Approximate Solutions to Dynamic Models - Linear Methods
University of Chicago - Department of Economics
SFB 649 Discussion Paper No. 2006-030
Linear Methods are often used to compute approximate solutions to dynamic models, as these models often cannot be solved analytically. Linear methods are very popular, as they can easily be implemented. Also, they provide a useful starting point for understanding more elaborate numerical methods. It shall be described here first for the example of a simple real business cycle model, including how to easily generate the log-linearized equations needed before solving the linear system. For a general framework, formulas are provided for calculating the recursive law of motion. The algorithm described here is implemented with the toolkit programs.
Number of Pages in PDF File: 12
Keywords: numerical methods, linear solution method, loglinearization, dynamic stochastic general equilibrium methods, recursive law of motion
JEL Classification: C60, C61, C63, E32working papers series
Date posted: August 3, 2006
© 2014 Social Science Electronic Publishing, Inc. All Rights Reserved.
This page was processed by apollo4 in 0.265 seconds