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JBendge: An Object-Oriented System for Solving, Estimating and Selecting Nonlinear Dynamic Models

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  • Viktor Winschel
  • Markus Krätzig

Abstract

We present an object-oriented software framework allowing to specify, solve, and estimate nonlinear dynamic general equilibrium (DSGE) models. The imple- mented solution methods for nding the unknown policy function are the standard linearization around the deterministic steady state, and a function iterator using a multivariate global Chebyshev polynomial approximation with the Smolyak op- erator to overcome the course of dimensionality. The operator is also useful for numerical integration and we use it for the integrals arising in rational expecta- tions and in nonlinear state space lters. The estimation step is done by a parallel Metropolis-Hastings (MH) algorithm, using a linear or nonlinear lter. Implemented are the Kalman, Extended Kalman, Particle, Smolyak Kalman, Smolyak Sum, and Smolyak Kalman Particle lters. The MH sampling step can be interactively moni- tored and controlled by sequence and statistics plots. The number of parallel threads can be adjusted to bene t from multiprocessor environments. JBendge is based on the framework JStatCom, which provides a standardized ap- plication interface. All tasks are supported by an elaborate multi-threaded graphical user interface (GUI) with project management and data handling facilities.

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Bibliographic Info

Paper provided by Sonderforschungsbereich 649, Humboldt University, Berlin, Germany in its series SFB 649 Discussion Papers with number SFB649DP2008-034.

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Length: 38 pages
Date of creation: Apr 2008
Date of revision:
Handle: RePEc:hum:wpaper:sfb649dp2008-034

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Related research

Keywords: Dynamic Stochastic General Equilibrium (DSGE) Models; Bayesian Time Series Econometrics; Java; Software Development;

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References

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  1. Viktor Winschel, 2005. "Solving, Estimating and Selecting Nonlinear Dynamic Economic Models without the Curse of Dimensionality," GE, Growth, Math methods 0507014, EconWPA.
  2. Klein, Paul, 2000. "Using the generalized Schur form to solve a multivariate linear rational expectations model," Journal of Economic Dynamics and Control, Elsevier, vol. 24(10), pages 1405-1423, September.
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Cited by:
  1. Gary S. Anderson & Jinill Kim & Tack Yun, 2010. "Using a projection method to analyze inflation bias in a micro-founded model," Finance and Economics Discussion Series 2010-18, Board of Governors of the Federal Reserve System (U.S.).

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