IDEAS home Printed from https://ideas.repec.org/p/zbw/bubdps/072013.html
   My bibliography  Save this paper

China's role in global inflation dynamics

Author

Listed:
  • Eickmeier, Sandra
  • Kühnlenz, Markus

Abstract

We apply a structural dynamic factor model to a large quarterly dataset covering 38 countries between 2002 and 2011 to analyze China's role in global inflation dynamics. We identify Chinese supply and demand shocks and examine their contributions to global price dynamics and the transmission mechanism. Our main findings are: (i) Chinese supply and demand shocks affect prices in other countries significantly. Demand shocks matter slightly more than supply shocks. Producer prices tend to be more strongly affected than consumer prices by Chinese shocks. The overall share of international inflation explained by Chinese shocks is notable (about 5 percent on average over all countries but not more than 13 percent in each region); (ii) Direct channels (via import and export prices) and indirect channels (via greater exposure to foreign competition and commodity prices) seem both to matter; (iii) Differences in trade (overall and with China) and in commodity exposure help explaining crosscountry differences in price responses.

Suggested Citation

  • Eickmeier, Sandra & Kühnlenz, Markus, 2013. "China's role in global inflation dynamics," Discussion Papers 07/2013, Deutsche Bundesbank.
  • Handle: RePEc:zbw:bubdps:072013
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/71905/1/742500683.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Alessandro Rebucci & Ambrogio Cesa-Bianchi & M. Hashem Pesaran & TengTeng Xu, 2012. "China's Emergence in the World Economy and Business Cycles in Latin America," ECONOMIA JOURNAL, THE LATIN AMERICAN AND CARIBBEAN ECONOMIC ASSOCIATION - LACEA, vol. 0(Spring 20), pages 1-75, January.
    2. Francesco Furlanetto & Francesco Ravazzolo & Samad Sarferaz, 2014. "Identification of financial factors in economic fluctuations," Working Paper 2014/09, Norges Bank.
    3. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    4. Renée Fry & Adrian Pagan, 2011. "Sign Restrictions in Structural Vector Autoregressions: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 938-960, December.
    5. Juan F. Rubio-Ramírez & Daniel F. Waggoner & Tao Zha, 2010. "Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference," Review of Economic Studies, Oxford University Press, vol. 77(2), pages 665-696.
    6. James H. Stock & Mark W. Watson, 2005. "Implications of Dynamic Factor Models for VAR Analysis," NBER Working Papers 11467, National Bureau of Economic Research, Inc.
    7. Gert Peersman, 2005. "What caused the early millennium slowdown? Evidence based on vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 185-207.
    8. Luke B Willard & Tarhan Feyzioglu, 2006. "Does Inflation in China Affect the United States and Japan?," IMF Working Papers 06/36, International Monetary Fund.
    9. Boivin, Jean & Ng, Serena, 2006. "Are more data always better for factor analysis?," Journal of Econometrics, Elsevier, vol. 132(1), pages 169-194, May.
    10. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    11. Eickmeier, Sandra & Ng, Tim, 2011. "How do credit supply shocks propagate internationally? A GVAR approach," Discussion Paper Series 1: Economic Studies 2011,27, Deutsche Bundesbank.
    12. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    13. Knut Are Aastveit & Hilde C. Bjørnland & Leif Anders Thorsrud, 2015. "What Drives Oil Prices? Emerging Versus Developed Economies," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(7), pages 1013-1028, November.
    14. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
    15. Backus, David K & Kehoe, Patrick J & Kydland, Finn E, 1992. "International Real Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 100(4), pages 745-775, August.
    16. Zheng Song & Kjetil Storesletten & Fabrizio Zilibotti, 2011. "Growing Like China," American Economic Review, American Economic Association, vol. 101(1), pages 196-233, February.
    17. Denise Côté & Carlos de Resende, 2008. "Globalization and Inflation: The Role of China," Staff Working Papers 08-35, Bank of Canada.
    18. Feldkircher, Martin & Korhonen, Iikka, 2012. "The rise of China and its implications for emerging markets : Evidence from a GVAR model," BOFIT Discussion Papers 20/2012, Bank of Finland, Institute for Economies in Transition.
    19. Chamberlain, Gary & Rothschild, Michael, 1983. "Arbitrage, Factor Structure, and Mean-Variance Analysis on Large Asset Markets," Econometrica, Econometric Society, vol. 51(5), pages 1281-1304, September.
    20. Marcel Förster & Peter Tillmann, 2013. "Local Inflation: Reconsidering the International Comovement of Inflation," MAGKS Papers on Economics 201303, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    21. Benjamin R. Mandel, 2013. "Chinese exports and U.S. import prices," Staff Reports 591, Federal Reserve Bank of New York.
    22. Shaun K. Roache, 2012. "China's Impacton World Commodity Markets," IMF Working Papers 12/115, International Monetary Fund.
    23. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    24. Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
    25. Steven B. Kamin & Mario Marazzi & John W. Schindler, 2006. "The Impact of Chinese Exports on Global Import Prices," Review of International Economics, Wiley Blackwell, vol. 14(2), pages 179-201, May.
    26. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    27. Farrant, Katie & Peersman, Gert, 2006. "Is the Exchange Rate a Shock Absorber or a Source of Shocks? New Empirical Evidence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(4), pages 939-961, June.
    28. Haroon Mumtaz & Paolo Surico, 2012. "Evolving International Inflation Dynamics: World And Country-Specific Factors," Journal of the European Economic Association, European Economic Association, vol. 10(4), pages 716-734, August.
    29. Renee Fry & Adrian Pagan, 2007. "Some Issues in Using Sign Restrictions for Identifying Structural VARs," NCER Working Paper Series 14, National Centre for Econometric Research.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tyers, Rod, 2015. "International effects of China's rise and transition: Neoclassical and Keynesian perspectives," Journal of Asian Economics, Elsevier, vol. 37(C), pages 1-19.
    2. Rod Tyers, 2015. "Financial Integration and China's Global Impact," Economics Discussion / Working Papers 15-02, The University of Western Australia, Department of Economics.
    3. Rod Tyers, 2016. "China and Global Macroeconomic Interdependence," The World Economy, Wiley Blackwell, vol. 39(11), pages 1674-1702, November.
    4. Pang, Ke & Siklos, Pierre L., 2016. "Macroeconomic consequences of the real-financial nexus: Imbalances and spillovers between China and the U.S," Journal of International Money and Finance, Elsevier, vol. 65(C), pages 195-212.
    5. Rod Tyers & Ying Zhang & Tsun Se Cheong, 2013. "China’s Saving and Global Economic Performance," Economics Discussion / Working Papers 13-20, The University of Western Australia, Department of Economics.
    6. Carstensen, K. & Salzmann, L., 2017. "The G7 business cycle in a globalized world," Journal of International Money and Finance, Elsevier, vol. 73(PA), pages 134-161.

    More about this item

    Keywords

    global inflation; China; international business cycles; structural dynamic factor model; sign restrictions;

    JEL classification:

    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:zbw:bubdps:072013. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ZBW - German National Library of Economics). General contact details of provider: http://edirc.repec.org/data/dbbgvde.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.