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Coordination of Monetary and Fiscal Policies for Growth with Price Stability in a Post‐COVID‐19 Indian Economy

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  • Nitin Arora
  • Shubham Monga
  • Dilpreet Sharma

Abstract

During the post‐COVID period, demand augmenting policies were needed and have been exercised by the Government of India to prevent the Indian economy from falling into recession. However, these demand augmenting policies seem to be inflationary as in the recent past high inflation has been observed in India. Thus, optimum combination of monetary and fiscal policies is needed to simultaneously achieve the objectives of demand growth and price stability. This paper proposes combinations of the two policies based on the results of a sign‐restricted vector autoregressive (VAR) modelling framework. The experimentation was performed using sign restrictions on macroeconomic target variables viz. demand growth and inflation rate while leaving the policy variables free to suggest proposed stances to achieve desired objectives. On the basis of the empirical findings, the proposed stances of monetary and fiscal authorities were then compared with the actual stances and requisite correction in the policy behaviours has been suggested in terms of improvements to the magnitude and frequency of contraction and expansion.

Suggested Citation

  • Nitin Arora & Shubham Monga & Dilpreet Sharma, 2022. "Coordination of Monetary and Fiscal Policies for Growth with Price Stability in a Post‐COVID‐19 Indian Economy," Economic Papers, The Economic Society of Australia, vol. 41(3), pages 247-259, September.
  • Handle: RePEc:bla:econpa:v:41:y:2022:i:3:p:247-259
    DOI: 10.1111/1759-3441.12362
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    1. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    2. Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1999. "Monetary policy shocks: What have we learned and to what end?," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2, pages 65-148, Elsevier.
    3. Sanchit Arora, 2018. "Monetary versus fiscal policy in India: an SVAR analysis," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 11(3), pages 250-274, September.
    4. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    5. Khundrakpam, Jeevan Kumar, 2013. "Are there Asymmetric Effects of Monetary Policy in India?," MPRA Paper 53059, University Library of Munich, Germany.
    6. Rogoff, Kenneth, 1990. "Equilibrium Political Budget Cycles," American Economic Review, American Economic Association, vol. 80(1), pages 21-36, March.
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