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Taking the temperature: forecasting GDP growth for mainland in China

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  • Curran, Declan
  • Funke, Michael

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 smallscale factor model approach leads to a successful representation of the sample data and provides an appropriate tool for forecasting Chinese business conditions.

Suggested Citation

  • Curran, Declan & Funke, Michael, 2006. "Taking the temperature: forecasting GDP growth for mainland in China," BOFIT Discussion Papers 6/2006, Bank of Finland Institute for Emerging Economies (BOFIT).
    • Handle: RePEc:zbw:bofitp:bdp2006_006
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    3. Aaron Mehrotra & Jouko Rautava, 2008. "Do sentiment indicators help to assess and predict actual developments of the Chinese economy?," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 6(3), pages 225-239.
    4. Eric Girardin & Konstantin A. Kholodilin, 2011. "How helpful are spatial effects in forecasting the growth of Chinese provinces?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(7), pages 622-643, November.
    5. Bruno Deschamps & Paolo Bianchi, 2012. "An evaluation of Chinese macroeconomic forecasts," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 10(3), pages 229-246, December.

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    More about this item

    Keywords

    Forecasting; China; Leading Indicator; Factor Model; Growth Cycles;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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