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Estimating Nonlinear DSGE Models with Moments Based Methods

Author

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  • Sergey Ivashchenko

Abstract

This article suggests new approach to approximation of moments of nonlinear DSGE models. These approximations are fast and accurate enough to use them for estimation of parameters of nonlinear DSGE models. A small financial DSGE model is repeatedly estimated by several approaches. Approximations of moments are close to moments calculated for large sample simulations. The quality of estimation with suggested approach is close to the Central Difference Kalman Filter (CDKF) based. At the same time suggested approach is much faster.

Suggested Citation

  • Sergey Ivashchenko, 2013. "Estimating Nonlinear DSGE Models with Moments Based Methods," EUSP Department of Economics Working Paper Series 2013/03, European University at St. Petersburg, Department of Economics.
    • Handle: RePEc:eus:wpaper:ec2013_03
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    References listed on IDEAS

    as
    1. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 113-172.
    2. Collard, Fabrice & Juillard, Michel, 2001. "Accuracy of stochastic perturbation methods: The case of asset pricing models," Journal of Economic Dynamics and Control, Elsevier, vol. 25(6-7), pages 979-999, June.
    3. Martin Møller Andreasen, 2008. "Non-linear DSGE Models, The Central Difference Kalman Filter, and The Mean Shifted Particle Filter," CREATES Research Papers 2008-33, Department of Economics and Business Economics, Aarhus University.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    DSGE; DSGE-VAR; GMM; nonlinear estimation;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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