Abstract

 


 



From the General to the Specific: Modelling Inflation in China


J. James Reade


University of Birmingham - Department of Economics

Ulrich Volz


University of London - School of Oriental and African Studies (SOAS) - Economics; German Development Institute

Dezember 18, 2011

Applied Economics Quarterly 57 (1), 27-44

Abstract:     
This article uses automatic model selection procedures, based on the general-to-speci fic approach, to investigate inflation in China. A novelty of this article is the use of a technique called impulse indicator saturation which allows us to uncover instabilities and to specify a very general model and select down to a more speci fic model that best explains inflation in China. By and large, our fi ndings suggest that China has been able to insulate itself against shocks from the US, although (maybe surprisingly) monetary growth in Europe seems to have an eff ect. Nonetheless, the main factors impacting Chinese inflation appear to be domestic, namely GDP growth and money growth.

Number of Pages in PDF File: 17

Keywords: Chinese inflation, dollar peg, automatic model selection procedure

JEL Classification: C32, E52, F33

Accepted Paper Series


Download This Paper

Date posted: April 19, 2012  

Suggested Citation

Reade, J. James and Volz, Ulrich, From the General to the Specific: Modelling Inflation in China (Dezember 18, 2011). Applied Economics Quarterly 57 (1), 27-44. Available at SSRN: http://ssrn.com/abstract=2041934

Contact Information

J. James Reade
University of Birmingham - Department of Economics ( email )
Birmingham, B15 2TT
United Kingdom
Ulrich Volz (Contact Author)
University of London - School of Oriental and African Studies (SOAS) - Economics
London, WC1E 7HU
United Kingdom
German Development Institute ( email )
Tulpenfeld 4
Bonn, 53113
Germany
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 133
Downloads: 16

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo1 in 0.313 seconds