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Data revisions in India: Implications for monetary policy

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  • Kishor, N. Kundan

Abstract

This paper studies data revision properties of GDP growth and inflation for the Indian economy. The results show that revisions to GDP growth and inflation are significant, and cannot be characterized as either containing pure news or pure noise. We also find that there is a significant predictable component in the 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.

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  • Kishor, N. Kundan, 2011. "Data revisions in India: Implications for monetary policy," Journal of Asian Economics, Elsevier, vol. 22(2), pages 164-173, April.
    • Handle: RePEc:eee:asieco:v:22:y:2011:i:2:p:164-173
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    References listed on IDEAS

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    Cited by:

    1. Das, Abhiman & Lahiri, Kajal & Zhao, Yongchen, 2019. "Inflation expectations in India: Learning from household tendency surveys," International Journal of Forecasting, Elsevier, vol. 35(3), pages 980-993.

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