Understanding the inflation–output nexus for China

Narayan, Paresh, Narayan, Seema and Smyth, Russell 2009, Understanding the inflation–output nexus for China, China economic review, vol. 20, no. 1, pp. 82-90.

Attached Files
Name Description MIMEType Size Downloads

Title Understanding the inflation–output nexus for China
Author(s) Narayan, Paresh
Narayan, Seema
Smyth, Russell
Journal name China economic review
Volume number 20
Issue number 1
Start page 82
End page 90
Publisher Elsevier BV, North-Holland
Place of publication Amsterdam, Netherlands
Publication date 2009-03
ISSN 1043-951X
1873-7781
Keyword(s) output
inflation
EGARCH model
China
Summary In this article we examine several hypotheses relating to output and inflation dynamics in China. The hypotheses tests are based on the exponential  generalised autoregressive conditional heteroskedasticity (EGARCH) model of Nelson [Nelson, D. (1991). Conditional heteroskedasticity in asset return: A new approach, Econometrica, 59, 347–370]. Our findings suggest that Chinese output–inflation behaviour is consistent with the hypothesis that increased inflation uncertainty lowers average inflation; the hypothesis that inflation volatility reduces economic growth and the hypothesis that higher output volatility increases economic growth. However, we find no support for the hypothesis that higher output volatility increases the average inflation rate.
Language eng
Field of Research 140202 Economic Development and Growth
Socio Economic Objective 910103 Economic Growth
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2008, Elsevier Inc
Persistent URL http://hdl.handle.net/10536/DRO/DU:30022698

Document type: Journal Article
Collections: Faculty of Business and Law
School of Accounting, Economics and Finance
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 8 times in TR Web of Science
Scopus Citation Count Cited 11 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 412 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Fri, 22 Jan 2010, 10:32:50 EST by Katrina Fleming

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.