Department of Economics and Business Economics

Numerical solution of dynamic equilibrium models under Poisson uncertainty

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

  • Olaf Posch
  • Timo Trimborn, University of Göttingen, Germany
We propose a simple and powerful numerical algorithm to compute the transition process in continuous-time dynamic equilibrium models with rare events. In this paper we transform the dynamic system of stochastic differential equations into a system of functional differential equations of the retarded type. We apply the Waveform Relaxation algorithm, i.e., we provide a guess of the policy function and solve the resulting system of (deterministic) ordinary differential equations by standard techniques. For parametric restrictions, analytical solutions to the stochastic growth model and a novel solution to Lucas' endogenous growth model under Poisson uncertainty are used to compute the exact numerical error. We show how (potential) catastrophic events such as rare natural disasters substantially affect the economic decisions of households.
Original languageEnglish
JournalJournal of Economic Dynamics and Control
Pages (from-to)2602-2622
Publication statusPublished - 2013

    Research areas

  • Continuous-time DSGE, Poisson uncertainty, Waveform Relaxation

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