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Business surveys and inflation forecasting in China

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  • Juuso Kaaresvirta
  • Aaron Mehrotra

    ()

Abstract

We use business survey data collected by the People’s Bank of China for inflation forecasting. Some survey indicators lead to enhanced forecasting performance relative to the univariate benchmark model, especially for a period of moderate inflation. However, the estimated models do not do a good job of tracking the recent pickup in Chinese inflation, due to increases in food prices.

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File URL: http://hdl.handle.net/10.1007/s10644-009-9071-y
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Bibliographic Info

Article provided by Springer in its journal Economic Change and Restructuring.

Volume (Year): 42 (2009)
Issue (Month): 4 (November)
Pages: 263-271

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Handle: RePEc:kap:ecopln:v:42:y:2009:i:4:p:263-271

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Web page: http://www.springerlink.com/link.asp?id=113294

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Keywords: Inflation forecasting; Business surveys; China; C53; E31;

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  1. Andrew Ang & Geert Bekaert & Min Wei, 2006. "Do macro variables, asset markets, or surveys forecast inflation better?," Finance and Economics Discussion Series 2006-15, Board of Governors of the Federal Reserve System (U.S.).
  2. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-62, April.
  3. Stefan Gerlach & Wensheng Peng, 2005. "Output Gaps and Inflation in Mainland China," Working Papers 202005, Hong Kong Institute for Monetary Research.
  4. Michael Funke, 2006. "Inflation In China: Modelling A Roller Coaster Ride," Pacific Economic Review, Wiley Blackwell, vol. 11(4), pages 413-429, December.
  5. 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.
  6. Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-63, July.
  7. James H. Stock & Mark W. Watson, 2008. "Phillips curve inflation forecasts," Conference Series ; [Proceedings], Federal Reserve Bank of Boston, vol. 53.
  8. Carsten A. Holz, 2004. "China's Statistical System in Transition: Challenges, Data Problems, and Institutional Innovations," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 50(3), pages 381-409, 09.
  9. Mehrotra , Aaron & Sánchez-Fung, José R., 2008. "Forecasting Inflation in China," BOFIT Discussion Papers 2/2008, Bank of Finland, Institute for Economies in Transition.
  10. Qin, Duo & Cagas, Marie Anne & Ducanes, Geoffrey & Magtibay-Ramos, Nedelyn & Quising, Pilipinas, 2008. "Automatic leading indicators versus macroeconometric structural models: A comparison of inflation and GDP growth forecasting," International Journal of Forecasting, Elsevier, vol. 24(3), pages 399-413.
  11. Burdekin, Richard C.K. & Siklos, Pierre L., 2008. "What has driven Chinese monetary policy since 1990? Investigating the People's bank's policy rule," Journal of International Money and Finance, Elsevier, vol. 27(5), pages 847-859, September.
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