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Data Revisions in India and its Implications for Monetary Policy

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  • Kishor, N. Kundan

Abstract

This paper studies data revision properties of GDP growth and inflation as measured by the Wholesale Price Index (WPI) for the Indian economy. We find that data revisions to GDP growth and WPI inflation in India are significant. The results show that revisions to GDP growth and WPI inflation can not be characterized as either containing pure news or pure noise. We also find that there is a significant predictable component in revisions to GDP growth and inflation. Our findings suggest that if the Reserve Bank of India were to follow a Taylor rule for its monetary policy formulation, then the interest rate based on the preliminary data would be much lower than the one based on the fully revised data.

Suggested Citation

  • Kishor, N. Kundan, 2009. "Data Revisions in India and its Implications for Monetary Policy," MPRA Paper 16099, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:16099
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    References listed on IDEAS

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    1. S. Borağan Aruoba, 2008. "Data Revisions Are Not Well Behaved," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(2‐3), pages 319-340, March.
    2. Croushore, Dean & Stark, Tom, 2001. "A real-time data set for macroeconomists," Journal of Econometrics, Elsevier, vol. 105(1), pages 111-130, November.
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    5. Dean Croushore, 2019. "Revisions to PCE Inflation Measures: Implications for Monetary Policy," International Journal of Central Banking, International Journal of Central Banking, vol. 15(4), pages 241-265, October.
    6. Roberto Luis Olinto Ramos & Patrice T. Robitaille & Rebeca de la Rocque Palis, 2004. "News or noise? an analysis of Brazilian GDP announcements," International Finance Discussion Papers 776, Board of Governors of the Federal Reserve System (U.S.).
    7. N. Gregory Mankiw & Matthew D. Shapiro, 1986. "News or Noise? An Analysis of GNP Revisions," NBER Working Papers 1939, National Bureau of Economic Research, Inc.
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    9. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
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    More about this item

    Keywords

    Data Revisions; Real-Time Data; Monetary Policy;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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