Arbeitspapier
Taking the temperature: forecasting GDP growth for mainland in China
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 smallscale factor model approach leads to a successful representation of the sample data and provides an appropriate tool for forecasting Chinese business conditions.
- Sprache
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Englisch
- ISBN
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952-462-820-1
- Erschienen in
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Series: BOFIT Discussion Papers ; No. 6/2006
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Model Evaluation, Validation, and Selection
Business Fluctuations; Cycles
Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications
China
Leading Indicator
Factor Model
Growth Cycles
Funke, Michael
- Handle
- Letzte Aktualisierung
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20.09.2024, 08:21 MESZ
Objekttyp
- Arbeitspapier
Beteiligte
- Curran, Declan
- Funke, Michael
- Bank of Finland, Institute for Economies in Transition (BOFIT)
Entstanden
- 2006