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Business surveys and inflation forecasting in China

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  • Kaaresvirta, Juuso

    ()
    (BOFIT)

  • Mehrotra, Aaron

    (BOFIT)

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://www.suomenpankki.fi/bofit_en/tutkimus/tutkimusjulkaisut/dp/Documents/dp2208.pdf
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Bibliographic Info

Paper provided by Bank of Finland, Institute for Economies in Transition in its series BOFIT Discussion Papers with number 22/2008.

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Length: 17 pages
Date of creation: 23 Nov 2008
Date of revision:
Handle: RePEc:hhs:bofitp:2008_022

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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
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Web page: http://www.suomenpankki.fi/bofit_en/
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Keywords: inflation forecasting; business surveys; China;

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  1. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-44, January.
  2. Mehrotra, Aaron & Rautava, Jouko, 2007. "Do sentiment indicators help to assess and predict actual developments of the Chinese economy?," BOFIT Discussion Papers 11/2007, Bank of Finland, Institute for Economies in Transition.
  3. 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.
  4. 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.
  5. GERLACH, Stefan & Peng, Wensheng, 2006. "Output gaps and inflation in Mainland China," China Economic Review, Elsevier, vol. 17(2), pages 210-225.
  6. James H. Stock & Mark W. Watson, 2008. "Phillips Curve Inflation Forecasts," NBER Working Papers 14322, National Bureau of Economic Research, Inc.
  7. 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.
  8. 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.).
  9. Michael Funke, 2006. "Inflation In China: Modelling A Roller Coaster Ride," Pacific Economic Review, Wiley Blackwell, vol. 11(4), pages 413-429, December.
  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. Mehrotra , Aaron & Sánchez-Fung, José R., 2008. "Forecasting Inflation in China," BOFIT Discussion Papers 2/2008, Bank of Finland, Institute for Economies in Transition.
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