Numerical solution of continuous-time DSGE models under poisson uncertainty

Arbeitspapier

We propose a simple and powerful method for determining the transition process in continuous-time DSGE models under Poisson uncertainty numerically. The idea is to transform the system of stochastic differential equations into a system of functional differential equations of the retarded type. We then use the Waveform Relaxation algorithm to provide a guess of the policy function and solve the resulting system of ordinary differential equations by standard methods and fix-point iteration. Analytical solutions are provided as a benchmark from which our numerical method can be used to explore broader classes of models. We illustrate the algorithm simulating both the stochastic neoclassical growth model and the Lucas model under Poisson uncertainty which is motivated by the Barro-Rietz rare disaster hypothesis. We find that, even for non-linear policy functions, the maximum (absolute) error is very small.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Diskussionsbeitrag ; No. 450

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Macroeconomics: Consumption; Saving; Wealth ; Portfolio Choice; Investment Decisions ; One, Two, and Multisector Growth Models
• Thema: Continuous-time DSGE ; Optimal stochastic control ; Waveform Relaxation ; Dynamisches Gleichgewicht ; Kontrolltheorie ; Stochastischer Prozess ; Algorithmus ; Theorie

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Posch, Olaf ; Trimborn, Timo
• Ereignis: Veröffentlichung
• (wer): Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät
• (wo): Hannover
• (wann): 2010

Weitere Informationen

• Handle: http://hdl.handle.net/10419/38749
• Letzte Aktualisierung: 10.03.2025, 11:41 MEZ