IDEAS home Printed from https://ideas.repec.org/a/fec/journl/v10y2015i1p38-55.html
   My bibliography  Save this article

China Estimating Nonlinear DSGE Models with Moments Based Methods

Author

Listed:
  • Ivashchenko Sergey

    (St. Petersburg Institute for Economics and Mathematics, Russian Academy of Sciences, St. Petersburg, 191187, Russia)

Abstract

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.

Suggested Citation

  • Ivashchenko Sergey, 2015. "China Estimating Nonlinear DSGE Models with Moments Based Methods," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 10(1), pages 38-55, March.
    • Handle: RePEc:fec:journl:v:10:y:2015:i:1:p:38-55
    as

    Download full text from publisher

    File URL: http://journal.hep.com.cn/fec/EN/10.3868/s060-004-015-0003-5
    Download Restriction: no
    ---><---

    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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fec:journl:v:10:y:2015:i:1:p:38-55. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Frank H. Liu (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.