Economic Growth across Space and Time: subprovincial Evidence from Mainland China
Declan Curran,
Michael Funke and
Jue Wang ()
Quantitative Macroeconomics Working Papers from Hamburg University, Department of Economics
Abstract:
We present a new composite leading indicator of economic activity in mainland China, estimated using a dynamic factor model. Our leading indicator is constructed from three series: exports, a real estate climate index, and the Shanghai Stock Exchange index. These series are found to share a common, unobservable element from which our indicator can be identified. This indicator is then incorporated into out-of-sample one-step-ahead forecasts of Chinese GDP growth. Recursive out-of-sample accuracy tests indicate that the small scale factor model approach leads to successful representation of the sample data and provides an appropriate tool for forecasting Chinese business conditions.
Keywords: Regional Economic Growth; China (search for similar items in EconPapers)
JEL-codes: O11 R11 (search for similar items in EconPapers)
Date: 2007-10
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.uni-hamburg.de/fachbereiche-einrichtung ... /makro/Bofit2107.pdf (application/pdf)
Related works:
Working Paper: Economic growth across space and time: subprovincial evidence from mainland China (2007) 
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:ham:qmwops:20710
Access Statistics for this paper
More papers in Quantitative Macroeconomics Working Papers from Hamburg University, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by ().