IDEAS home Printed from https://ideas.repec.org/p/imf/imfwpa/2010-221.html
   My bibliography  Save this paper

Price Dynamics in China

Author

Listed:
  • International Monetary Fund

Abstract

Chinese inflation, particularly non-food inflation, has been surprisingly modest in recent years. We find that supply factors, including those captured through upstream foreign commodity and producer prices, have been important drivers of non-food inflation, as has foreign demand for Chinese goods. Domestic demand and monetary conditions seem less important, possibly reflecting a large domestic output gap generated by many years of high investment. Inflation varies systemically within China, with richer (and urban) provinces having lower, more stable, inflation, but this urban inflation also influence that in lower-income provinces. Higher Mainland food inflation also raises inflation in non-Mainland China.

Suggested Citation

  • International Monetary Fund, 2010. "Price Dynamics in China," IMF Working Papers 2010/221, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2010/221
    as

    Download full text from publisher

    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=24250
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:zbw:bofitp:2008_015 is not listed on IDEAS
    2. Arne Bigsten & Angang Hu & Jinghai Zheng, 2009. "Potential output in a rapidly developing economy: the case of China and a comparison with the United States and the European Union," Review, Federal Reserve Bank of St. Louis, vol. 91(Jul), pages 317-342.
    3. Huang Yiping & Wang Xun & Hua Xiuping, 2010. "What Determine China’s Inflation?," Macroeconomics Working Papers 22770, East Asian Bureau of Economic Research.
    4. Mr. Jahangir Aziz, 2008. "Real and Financial Sector Linkages in China and India," IMF Working Papers 2008/095, International Monetary Fund.
    5. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
    6. Fabio Rumler, 2007. "Estimates of the Open Economy New Keynesian Phillips Curve for Euro Area Countries," Open Economies Review, Springer, vol. 18(4), pages 427-451, September.
    7. Villani, Mattias, 2005. "Inference in Vector Autoregressive Models with an Informative Prior on the Steady State," Working Paper Series 181, Sveriges Riksbank (Central Bank of Sweden).
    8. Jordi Galí & J David López-Salido, 2001. "A New Phillips curve for Spain," BIS Papers chapters, in: Bank for International Settlements (ed.), Empirical studies of structural changes and inflation, volume 3, pages 174-203, Bank for International Settlements.
    9. Barry Bosworth & Susan M. Collins, 2008. "Accounting for Growth: Comparing China and India," Journal of Economic Perspectives, American Economic Association, vol. 22(1), pages 45-66, Winter.
    10. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
    11. Litterman, Robert, 1986. "Forecasting with Bayesian vector autoregressions -- Five years of experience : Robert B. Litterman, Journal of Business and Economic Statistics 4 (1986) 25-38," International Journal of Forecasting, Elsevier, vol. 2(4), pages 497-498.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jishi Piao & Sangyong Joo, 2014. "Estimating Open Economy New Keynesian Phillips Curve for Korea," Asian Economic Journal, East Asian Economic Association, vol. 28(3), pages 239-258, September.
    2. Campbell Leith & Jim Malley, 2007. "Estimated Open Economy New Keynesian Phillips Curves for the G7," Open Economies Review, Springer, vol. 18(4), pages 405-426, September.
    3. Pär Österholm, 2008. "Can forecasting performance be improved by considering the steady state? An application to Swedish inflation and interest rate," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(1), pages 41-51.
    4. Malin Adolfson & Michael K. Andersson & Jesper Lindé & Mattias Villani & Anders Vredin, 2007. "Modern Forecasting Models in Action: Improving Macroeconomic Analyses at Central Banks," International Journal of Central Banking, International Journal of Central Banking, vol. 3(4), pages 111-144, December.
    5. Dimitrios P. Louzis, 2019. "Steady‐state modeling and macroeconomic forecasting quality," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(2), pages 285-314, March.
    6. P&aauml;r Österholm & Jeromin Zettelmeyer, 2008. "The Effect of External Conditions on Growth in Latin America," IMF Staff Papers, Palgrave Macmillan, vol. 55(4), pages 595-623, December.
    7. Luigi Paciello, 2011. "Does Inflation Adjust Faster to Aggregate Technology Shocks than to Monetary Policy Shocks?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(8), pages 1663-1684, December.
    8. Helge Berger & Pär Österholm, 2011. "Does Money Growth Granger Cause Inflation in the Euro Area? Evidence from Out‐of‐Sample Forecasts Using Bayesian VARs," The Economic Record, The Economic Society of Australia, vol. 87(276), pages 45-60, March.
    9. Marco Del Negro & Frank Schorfheide, 2004. "Priors from General Equilibrium Models for VARS," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(2), pages 643-673, May.
    10. Júlia Lendvai, 2005. "Hungarian Inflation Dynamics," MNB Occasional Papers 2005/46, Magyar Nemzeti Bank (Central Bank of Hungary).
    11. Par Osterholm, 2008. "A structural Bayesian VAR for model-based fan charts," Applied Economics, Taylor & Francis Journals, vol. 40(12), pages 1557-1569.
    12. Garegnani, Lorena & Gómez Aguirre, Maximiliano, 2018. "Forecasting Inflation in Argentina," IDB Publications (Working Papers) 8940, Inter-American Development Bank.
    13. Utlaut, Johannes Friederich & van Roye, Björn, 2010. "The effects of external shocks to business cycles in emerging Asia: A Bayesian VAR approach," Kiel Working Papers 1668, Kiel Institute for the World Economy (IfW Kiel).
    14. Lagoa, Sérgio, 2014. "Inflation dynamics in open economies: Empirical evidence for G7 countries on the role of import prices and the cost channel," Research in Economics, Elsevier, vol. 68(4), pages 354-371.
    15. Sean Langcake & Tim Robinson, 2018. "Forecasting the Australian economy with DSGE and BVAR models," Applied Economics, Taylor & Francis Journals, vol. 50(3), pages 251-267, January.
    16. Dieppe, Alistair & van Roye, Björn & Legrand, Romain, 2016. "The BEAR toolbox," Working Paper Series 1934, European Central Bank.
    17. Louzis Dimitrios P., 2016. "Steady-state priors and Bayesian variable selection in VAR forecasting," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(5), pages 495-527, December.
    18. Mattias Villani, 2009. "Steady-state priors for vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 630-650.
    19. Caruso, Alberto & Reichlin, Lucrezia & Ricco, Giovanni, 2019. "Financial and fiscal interaction in the Euro Area crisis: This time was different," European Economic Review, Elsevier, vol. 119(C), pages 333-355.
    20. Stefan Laséen & Andrea Pescatori, 2020. "Financial stability and interest‐rate policy: A quantitative assessment of costs and benefit," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 53(3), pages 1246-1273, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:imf:imfwpa:2010/221. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Akshay Modi (email available below). General contact details of provider: https://edirc.repec.org/data/imfffus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.