IDEAS home Printed from https://ideas.repec.org/a/rba/rbabul/dec2017-04.html
   My bibliography  Save this article

Underlying Consumer Price Inflation in China

Author

Listed:
  • Iris Day

    (Reserve Bank of Australia)

Abstract

Underlying inflation measures seek to look through the volatility often inherent in headline inflation, and can be useful for assessing inflationary pressures in a given economy. This article describes new trimmed mean measures of underlying inflation that we have constructed for China and compares their performance with other measures of underlying consumer price inflation. A range of underlying inflation measures suggest that inflationary pressures have increased gradually since early 2016, although they remain low by historical standards.

Suggested Citation

  • Iris Day, 2017. "Underlying Consumer Price Inflation in China," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 29-36, December.
  • Handle: RePEc:rba:rbabul:dec2017-04
    as

    Download full text from publisher

    File URL: https://www.rba.gov.au/publications/bulletin/2017/dec/pdf/bu-1217-4-underlying-consumer-price-inflation-in-china.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brent Meyer & Guhan Venkatu, 2012. "Trimmed-mean inflation statistics: just hit the one in the middle," Working Papers (Old Series) 1217, Federal Reserve Bank of Cleveland.
    2. Mikael Khan & Louis Morel & Patrick Sabourin, 2015. "A Comprehensive Evaluation of Measures of Core Inflation for Canada," Discussion Papers 15-12, Bank of Canada.
    3. Marlene Amstad & Ye Huan & Guonan Ma, 2014. "Developing an underlying inflation gauge for China," Working Papers 853, Bruegel.
    4. Jonathan Kearns, 1998. "The Distribution and Measurement of Inflation," RBA Research Discussion Papers rdp9810, Reserve Bank of Australia.
    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. Chen, Jie & Chen, Yu & Hill, Robert J. & Hu, Pei, 2022. "The user cost of housing and the price-rent ratio in Shanghai," Regional Science and Urban Economics, Elsevier, vol. 92(C).
    2. Opeoluwa Adeniyi Adeosun & Mosab I. Tabash & Xuan Vinh Vo & Suhaib Anagreh, 2023. "Uncertainty measures and inflation dynamics in selected global players: a wavelet approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3389-3424, August.

    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. Robert Dixon & G.C. Lim, 2004. "Underlying Inflation in Australia: Are the Existing Measures Satisfactory?," The Economic Record, The Economic Society of Australia, vol. 80(251), pages 373-386, December.
    2. repec:zbw:bofitp:2018_011 is not listed on IDEAS
    3. Lei Lei Song, 2003. "The Role of the Unit of Analysis in Tax Policy Reform Evaluations," Melbourne Institute Working Paper Series wp2003n29, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    4. Sadia Tahir, 2003. "Core Inflation Measures for Pakistan," SBP Working Paper Series 04, State Bank of Pakistan, Research Department.
    5. Meyler, Aidan, 1999. "A Statistical Measure Of Core Inflation," Research Technical Papers 2/RT/99, Central Bank of Ireland.
    6. Jamie Armour, 2006. "An Evaluation of Core Inflation Measures," Staff Working Papers 06-10, Bank of Canada.
    7. Vega, Juan Luis & Wynne, Mark A., 2001. "An evaluation of some measures of core inflation for the euro area," Working Paper Series 0053, European Central Bank.
    8. Colin Bermingham, 2007. "How Useful is Core Inflation for Forecasting Headline Inflation?," The Economic and Social Review, Economic and Social Studies, vol. 38(3), pages 355-377.
    9. Garciga, Christian & Knotek II, Edward S., 2019. "Forecasting GDP growth with NIPA aggregates: In search of core GDP," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1814-1828.
    10. Yiqun Gloria Chen, 2019. "Inflation, Inflation Expectations, and the Phillips Curve: Working Paper 2019-07," Working Papers 55501, Congressional Budget Office.
    11. Luc Aucremanne & Guy Brys & Peter J Rousseeuw & Anja Struyf & Mia Hubert, 2003. "Inflation, relative prices and nominal rigidities," BIS Papers chapters, in: Bank for International Settlements (ed.), Monetary policy in a changing environment, volume 19, pages 81-105, Bank for International Settlements.
    12. Bjarni G. Einarsson, 2014. "A Dynamic Factor Model for Icelandic Core Inflation," Economics wp67, Department of Economics, Central bank of Iceland.
    13. Bermingham, Colin, 2006. "How Useful is Core Inflation for Forecasting Headline Inflation?," Research Technical Papers 11/RT/06, Central Bank of Ireland.
    14. Marlene Amstad & Ye Huan & Guonan Ma, 2014. "Developing an underlying inflation gauge for China," BIS Working Papers 465, Bank for International Settlements.
    15. Landau, Bettina, 2000. "Core inflation rates: a comparison of methods based on west German data," Discussion Paper Series 1: Economic Studies 2000,04, Deutsche Bundesbank.
    16. Marlene Amstad & Simon M. Potter & Robert W. Rich, 2017. "The New York Fed Staff Underlying Inflation Gauge (UIG)," Economic Policy Review, Federal Reserve Bank of New York, issue 23-2, pages 1-32.
    17. Juan‐Luis Vega & Mark A. Wynne, 2003. "A First Assessment of Some Measures of Core Inflation for the Euro Area," German Economic Review, Verein für Socialpolitik, vol. 4(3), pages 269-306, August.
    18. Lei Lei Song, 2005. "Do underlying measures of inflation outperform headline rates? Evidence from Australian data," Applied Economics, Taylor & Francis Journals, vol. 37(3), pages 339-345.
    19. Vega, Juan Luis & Wynne, Mark A., 2001. "An evaluation of some measures of core inflation for the euro area," Working Paper Series 53, European Central Bank.
    20. Aðalheiður Ó. Guðlaugsdóttir & Lilja S. Kro, 2018. "The common component of the CPI - A trendy measure of Icelandic underlying inflation," Economics wp78, Department of Economics, Central bank of Iceland.
    21. Edward P. Santos & Dennis S. Mapa & Eloisa T. Glindro, 2010. "Estimating inflation-at-risk (IaR) using extreme value theory (EVT)," Philippine Review of Economics, University of the Philippines School of Economics and Philippine Economic Society, vol. 47(2), pages 21-40, December.

    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:rba:rbabul:dec2017-04. 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: Paula Drew (email available below). General contact details of provider: https://edirc.repec.org/data/rbagvau.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.