Forecasting Inflation in China
AbstractThis paper forecasts inflation in China over a 12-month horizon. The analysis runs 15 alternative models and finds that only those considering many predictors via a principal component display a better relative forecasting performance than the univariate benchmark.
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Bibliographic InfoPaper provided by Bank of Finland, Institute for Economies in Transition in its series BOFIT Discussion Papers with number 2/2008.
Length: 17 pages
Date of creation: 21 Apr 2008
Date of revision:
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Postal: Bank of Finland, BOFIT, P.O. Box 160, FI-00101 Helsinki, Finland
Phone: + 358 10 831 2268
Fax: + 358 10 831 2294
Web page: http://www.suomenpankki.fi/bofit_en/
More information through EDIRC
inflation forecasting; data-rich environment; principal components; China;
Find related papers by JEL classification:
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-04-29 (All new papers)
- NEP-CBA-2008-04-29 (Central Banking)
- NEP-CNA-2008-04-29 (China)
- NEP-ECM-2008-04-29 (Econometrics)
- NEP-FOR-2008-04-29 (Forecasting)
- NEP-MAC-2008-04-29 (Macroeconomics)
- NEP-MON-2008-04-29 (Monetary Economics)
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.:
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