Characteristics and Implications of Chinese Macroeconomic Data Revisions
Recent research examining U.S. macroeconomic data suggests that revisions may be much more important than traditionally assumed. This paper extends the analysis to Chinese data, where there has been substantial debate about data quality for some time. The key finding in this paper is that indeed the Chinese macroeconomic data revisions are not well-behaved, but that they are not much different from U.S. macroeconomic data revisions.
|Date of creation:||Aug 2012|
|Date of revision:|
|Contact details of provider:|| Web page: http://www.gwu.edu/~iiep/|
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Frederick Joutz & H. O. Stekler, 1998. "Data revisions and forecasting," Applied Economics, Taylor & Francis Journals, vol. 30(8), pages 1011-1016.
- Carsten A. Holz, 2006. "China'S Reform Period Economic Growth: How Reliable Are Angus Maddison'S Estimates? Response To Angus Maddison'S Reply," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 52(3), pages 471-475, 09.
- Harry X. Wu, 2007. "The Chinese GDP Growth Rate Puzzle: How Fast Has the Chinese Economy Grown?," Asian Economic Papers, MIT Press, vol. 6(1), pages 1-23, February.
- Dean Croushore, 2011.
"Frontiers of Real-Time Data Analysis,"
Journal of Economic Literature,
American Economic Association, vol. 49(1), pages 72-100, March.
- Swanson, N.R. & van Dijk, D.J.C., 2001.
"Are statistical reporting agencies getting it right? Data rationality and business cycle asymmetry,"
Econometric Institute Research Papers
EI 2001-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Swanson, Norman R. & van Dijk, Dick, 2006. "Are Statistical Reporting Agencies Getting It Right? Data Rationality and Business Cycle Asymmetry," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 24-42, January.
- Tara M. Sinclair & H.O. Stekler, 2011.
"Examining the Quality of Early GDP Component Estimates,"
2011-001, The George Washington University, Department of Economics, Research Program on Forecasting, revised Dec 2011.
- Sinclair, Tara M. & Stekler, H.O., 2013. "Examining the quality of early GDP component estimates," International Journal of Forecasting, Elsevier, vol. 29(4), pages 736-750.
- Tara M. Sinclair & Fred Joutz & Herman O. Stekler, 2009.
"Can the Fed Predict the State of the Economy?,"
2009-001, The George Washington University, Department of Economics, Research Program on Forecasting, revised Mar 2010.
- Jorg Scheibe, 2003. "The Chinese Output Gap During the Reform Period 1978-2002," Economics Series Working Papers 179, University of Oxford, Department of Economics.
- Masahiro Ashiya, 2006. "Testing the rationality of forecast revisions made by the IMF and the OECD," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(1), pages 25-36.
- James E. Kennedy, 1990. "An analysis of revisions to the industrial production index," Working Paper Series / Economic Activity Section 109, Board of Governors of the Federal Reserve System (U.S.).
- Angus Maddison, 2006. "DO OFFICIAL STATISTICS EXAGGERATE CHINA's GDP GROWTH? A REPLY TO CARSTEN HOLZ," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 52(1), pages 121-126, 03.
- Chadwick C. Curtis & Nelson Mark, 2010. "Business Cycles, Consumption and Risk-Sharing: How Different Is China?," NBER Working Papers 16154, National Bureau of Economic Research, Inc.
When requesting a correction, please mention this item's handle: RePEc:gwi:wpaper:2012-09. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Kyle Renner)
If references are entirely missing, you can add them using this form.