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Frontiers of Economics in China

Front. Econ. China    2015, Vol. 10 Issue (1) : 38-55
Estimating Nonlinear DSGE Models with Moments Based Methods
Ivashchenko Sergey()
St. Petersburg Institute for Economics and Mathematics, Russian Academy of Sciences, St. Petersburg, 191187, Russia
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This article suggests a new approach to approximating moments for nonlinear DSGE models. This approach is fast and sufficiently accurate to estimate nonlinear DSGE models. A small financial DSGE model is repeatedly estimated by several modifications of the suggested approach. Approximations of the moments are close to the results of the large sample Monte Carlo estimation. The quality of parameter estimation using our suggested approach is close to the Central Difference Kalman Filter (CDKF); and our suggested approach is much faster.

Keywords DSGE      DSGE-VAR      GMM      nonlinear estimation     
Issue Date: 23 March 2015
 Cite this article:   
Ivashchenko Sergey. Estimating Nonlinear DSGE Models with Moments Based Methods[J]. Front. Econ. China, 2015, 10(1): 38-55.
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