IDEAS home Printed from https://ideas.repec.org/a/fec/journl/v8y2013i3p390-429.html
   My bibliography  Save this article

An Estimated DSGE Model for Business Cycle Analysis in China

Author

Listed:
  • Biao Gu

    (School of Economics, Shanghai University, Shanghai 200444, China)

  • Jianfeng Wang

    (Research Center of Applied Finance, University of International Business and Economics, Beijing 100029, China)

  • Jingfei Wu

    (School of Economics, Shanghai University, Shanghai 200444, China)

Abstract

A small-scale, but highly-stylized dynamic stochastic general equilibrium model is estimated by the maximum likelihood method using Chinese quarterly data. Model specifications and parameter equalities between various competing model variants are addressed by formal statistical hypothesis tests, while implications for business cycle fluctuations are evaluated via a variance decomposition experiment, second-moments matching, and some out-of-sample forecast exercises. It is highlighted that the monetary authority takes an aggressive stance to the current inflation pressure (there is a significant lagged response), while leaving less attention to changes in aggregate output. Variance decomposition reveals that large percentages of variations in real and nominal variables are explained by the highly volatile preference and potential output shock, respectively. When nominal and real frictions as well as additional shocks are included, overall our estimated model can successfully reproduce the stylized facts from actual data of Chinese business cycles and frequently can even outperform those forecasts from an unconstrained VAR.

Suggested Citation

  • Biao Gu & Jianfeng Wang & Jingfei Wu, 2013. "An Estimated DSGE Model for Business Cycle Analysis in China," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 8(3), pages 390-429, September.
  • Handle: RePEc:fec:journl:v:8:y:2013:i:3:p:390-429
    as

    Download full text from publisher

    File URL: http://journal.hep.com.cn/fec/EN/10.3868/s060-002-013-0020-0
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    business cycle analysis; Chinese economy; DSGE model; interest rate rule;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

    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:8:y:2013:i:3:p:390-429. 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.