Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/25113 
Autor:innen: 
Erscheinungsjahr: 
2006
Schriftenreihe/Nr.: 
SFB 649 Discussion Paper No. 2006,030
Verlag: 
Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk, Berlin
Zusammenfassung: 
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 available per http://www.wiwi.hu-berlin.de/wpol/html/toolkit.htm .
Schlagwörter: 
numerical methods
linear solution method
loglinearization
dynamic stochastic general equilibrium methods
recursive law of motion
JEL: 
C60
C61
C63
E32
Dokumentart: 
Working Paper

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