IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/67105.html
   My bibliography  Save this paper

Analysing Core Inflation in India: A Structural VAR Approach

Author

Listed:
  • Goyal, Ashima
  • Pujari, Ayan Kumar

Abstract

Effective inflation targeting requires careful selection of the inflation target. It is necessary to leave out noisy elements, which monetary policy cannot control, but this exclusion should not be done in an ad hoc way. Rather core inflation should be determined from the structure of the economy. This paper estimates core inflation for India using Structural Vector Autoregression (SVAR). This method is based on both theory and the structure of the economy. Monthly data for wholesale price index (WPI) and index of industrial production (IIP) has been used, covering a long time span from January 1971 to July 2004. We analyze the impulse responses of inflation and output, test for several time series properties of core inflation and carry out a number of Granger causality tests between headline inflation, core inflation, output and a monetary aggregate.

Suggested Citation

  • Goyal, Ashima & Pujari, Ayan Kumar, 2005. "Analysing Core Inflation in India: A Structural VAR Approach," MPRA Paper 67105, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:67105
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/67105/1/MPRA_paper_67105.pdf
    File Function: original version
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    2. Nessen, Marianne & Soderstrom, Ulf, 2001. "Core Inflation and Monetary Policy," International Finance, Wiley Blackwell, vol. 4(3), pages 401-439, Winter.
    3. Hilde Christiane Bjørnland, 2001. "Identifying domestic and imported core inflation," Applied Economics, Taylor & Francis Journals, vol. 33(14), pages 1819-1831.
    4. Quah, Danny, 1995. "Misinterpreting the dynamic effects of aggregate demand and supply disturbances," Economics Letters, Elsevier, vol. 49(3), pages 247-250, September.
    5. Freeman, Donald G., 1998. "Do core inflation measures help forecast inflation?," Economics Letters, Elsevier, vol. 58(2), pages 143-147, February.
    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. Pami Dua & Upasna Gaur, 2010. "Determination of inflation in an open economy Phillips curve framework: the case of developed and developing Asian countries," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 3(1), pages 33-51.
    2. Ashima Goyal & Arjun Singh, 2006. "Through a glass darkly: Deciphering the impact of oil price shocks," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2006-012, Indira Gandhi Institute of Development Research, Mumbai, India.

    More about this item

    Keywords

    Inflation Targeting; Core Inflation; Structural VAR;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    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:pra:mprapa:67105. 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: (Joachim Winter) or (Rebekah McClure). General contact details of provider: http://edirc.repec.org/data/vfmunde.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.