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The quest for optimal monetary policy rules in India

Author

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  • Patra, Michael Debabrata
  • Khundrakpam, Jeevan Kumar
  • Gangadaran, Sivaramakrishnan
Abstract
In the backdrop of adoption of inflation targeting framework, this paper computes optimal monetary policy rules for India conditional upon a small model of the economy covering the period 2000–2014. Weights to policy rules are developed by minimizing alterative inter-temporal loss functions defined over the variance of inflation, output and policy instrument from their respective targets. An optimal policy rule with the ratio of weight on output gap to inflation gap higher than in the standard Taylor rule and a flexible inflation targeting framework turns out to be welfare maximising for India. Lower interest rate smoothing or quicker monetary policy responses than estimated from the past data may be warranted to increase society’s welfare. While a policy rate in the range of 6.25–6.70 appears to be best suited under the macroeconomic situation prevailing during 2015–16, rates lower than 6.25% would lie outside the policy efficiency frontier.

Suggested Citation

  • Patra, Michael Debabrata & Khundrakpam, Jeevan Kumar & Gangadaran, Sivaramakrishnan, 2017. "The quest for optimal monetary policy rules in India," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 349-370.
    • Handle: RePEc:eee:jpolmo:v:39:y:2017:i:2:p:349-370
    DOI: 10.1016/j.jpolmod.2017.01.006
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    Cited by:

    1. Barendra Kumar Bhoi & Abhishek Kumar & Prashant Mehul Parab, "undated". "Aggregate demand management, policy errors and optimal monetary policy in India," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2019-029, Indira Gandhi Institute of Development Research, Mumbai, India.
    2. Wei, Xiaoyun & Han, Liyan, 2020. "Targeted reduction in reserve requirement ratio and optimal monetary policy in China," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 209-230.
    3. Cobham, David & Song, Mengdi, 2020. "How do countries choose their monetary policy frameworks?," Journal of Policy Modeling, Elsevier, vol. 42(6), pages 1187-1207.
    4. Kapur, Muneesh, 2018. "Macroeconomic Policies and Transmission Dynamics in India," MPRA Paper 88566, University Library of Munich, Germany.
    5. Wei, Xiaoyun & Li, Jie & Han, Liyan, 2020. "Optimal targeted reduction in reserve requirement ratio in China," Economic Modelling, Elsevier, vol. 85(C), pages 1-15.
    6. Yağcıbaşı Özge Filiz & Yıldırım Mustafa Ozan, 2017. "Welfare Implications of Alternative Monetary Policy Rules: A New Keynesian DSGE Model for Turkey," Review of Economic Perspectives, Sciendo, vol. 17(4), pages 363-379, December.
    7. Bhavesh Salunkhe & Anuradha Patnaik, 2019. "Inflation Dynamics and Monetary Policy in India: A New Keynesian Phillips Curve Perspective," South Asian Journal of Macroeconomics and Public Finance, , vol. 8(2), pages 144-179, December.
    8. Anwar, Sajid & Nguyen, Lan Phi, 2018. "Channels of monetary policy transmission in Vietnam," Journal of Policy Modeling, Elsevier, vol. 40(4), pages 709-729.

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    More about this item

    Keywords

    Aggregate demand; Aggregate supply; Monetary policy; Optimal policy rule;
    All these keywords.

    JEL classification:

    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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