Monetary policy rule for China - 1994-2006
Danfeng Kong
Additional contact information
Danfeng Kong: EAERG - School of Economics, The University of Queensland
No 1405, EAERG Discussion Paper Series from University of Queensland, School of Economics
Abstract:
With the development of market-oriented economic reforms, Chinese monetary policy plays an important role in the world. The objective of this paper is to review the recent conduct of Chinese monetary policy and the central bank’s rule-based behavior in period 1994-2006 by estimating the monetary policy rules (monetary policy reaction function). It compares four kinds of monetary policy rules -Taylor rule, McCallum rule, Modified Taylor rule and Modified McCallum rule and conducts the empirical study of these four rules with Chinese data. The findings are that these four estimated rules can describe Chinese monetary policy stance in some degree and Taylor rules are better than McCallum rules in evaluating Chinese monetary policy performance. This study includes five sections. Section 1 is the introduction. Section 2 is the brief literature review. Section 3 indicates four model specifications of monetary policy rule. Section 4 evaluates Chinese monetary policy performance utilizing models mentioned in Section 3. Section 5 provides concluding remarks.
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.uq.edu.au/economics/eaerg/dp/EAERG_DP14.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:qld:uqeaer:14
Access Statistics for this paper
More papers in EAERG Discussion Paper Series from University of Queensland, School of Economics Contact information at EDIRC.
Bibliographic data for series maintained by SOE IT ().