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Forecasting China's economic growth and inflation

Listed author(s):
  • Higgins, Patrick
  • Zha, Tao
  • Zhong, Wenna
Registered author(s):

Although macroeconomic forecasting forms an integral part of the policymaking process, there has been a serious lack of rigorous and systematic research in the evaluation of out-of-sample model-based forecasts of China's real GDP growth and CPI inflation. This paper fills this research gap by providing a replicable forecasting model that beats a host of other competing models when measured by root mean square errors, especially over long-run forecast horizons. The model is shown to be capable of predicting turning points and to be usable for policy analysis under different scenarios. We find that M2 supply, rather than interest rates, is a key variable for forecasting macroeconomic variables. Annual GDP growth for the next five years is predicted to be close to the 6.5% official target and a future GDP growth path is predicted to be of L-shape rather than U-shape.

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File URL: http://www.sciencedirect.com/science/article/pii/S1043951X16300827
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Article provided by Elsevier in its journal China Economic Review.

Volume (Year): 41 (2016)
Issue (Month): C ()
Pages: 46-61

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Handle: RePEc:eee:chieco:v:41:y:2016:i:c:p:46-61
DOI: 10.1016/j.chieco.2016.07.011
Contact details of provider: Web page: http://www.elsevier.com/locate/chieco

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