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Determinants of inflation in India

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  • Mohanty, Deepak
  • John, Joice

Abstract

The paper attempts to identify the determinants of inflation in India in a multivariate econometric framework using quarterly data from Q1: 1996–1997 to Q3: 2013–2014. The identified determinants of domestic inflation such as crude oil prices, output gap, fiscal policy and monetary policy, and their relation with inflation is studied in a structural vector auto regression (SVAR) model. Further, the temporal changes in inflation dynamics are analyzed using a time varying parameter SVAR model with stochastic volatility. It was found that inflation dynamics in India have changed over time with various determinants showing significant time variation in the recent years, particularly after the global financial crisis.

Suggested Citation

  • Mohanty, Deepak & John, Joice, 2015. "Determinants of inflation in India," Journal of Asian Economics, Elsevier, vol. 36(C), pages 86-96.
    • Handle: RePEc:eee:asieco:v:36:y:2015:i:c:p:86-96
    DOI: 10.1016/j.asieco.2014.08.002
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    1. Fabio Canova & Luca Gambetti & Evi Pappa, 2007. "The Structural Dynamics of Output Growth and Inflation: Some International Evidence," Economic Journal, Royal Economic Society, vol. 117(519), pages 167-191, March.
    2. Stanley Fischer & Ratna Sahay & Carlos A. Végh, 2002. "Modern Hyper- and High Inflations," Journal of Economic Literature, American Economic Association, vol. 40(3), pages 837-880, September.
    3. Luca Benati, 2008. "The "Great Moderation" in the United Kingdom," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(1), pages 121-147, February.
    4. Luca Benati & Paolo Surico, 2008. "Evolving U.S. Monetary Policy and The Decline of Inflation Predictability," Journal of the European Economic Association, MIT Press, vol. 6(2-3), pages 634-646, 04-05.
    5. Khundrakpam, Jeevan Kumar, 2011. "Credit Channel of Monetary Transmission in India - How Effective and Long is the Lag?," MPRA Paper 50899, University Library of Munich, Germany.
    6. King, Robert G. & Plosser, Charles I., 1985. "Money, deficits, and inflation," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 22(1), pages 147-195, January.
    7. Timothy Cogley & Thomas J. Sargent, 2005. "Drift and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 262-302, April.
    8. M S Mohanty & Marc Klau, 2001. "What determines inflation in emerging market economies?," BIS Papers chapters, in: Bank for International Settlements (ed.), Modelling aspects of the inflation process and the monetary transmission mechanism in emerging market countries, volume 8, pages 1-38, Bank for International Settlements.
    9. Nakajima, Jouchi & Kasuya, Munehisa & Watanabe, Toshiaki, 2011. "Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy," Journal of the Japanese and International Economies, Elsevier, vol. 25(3), pages 225-245, September.
    10. Timothy Cogley & Thomas J. Sargent, 2002. "Evolving Post-World War II US Inflation Dynamics," NBER Chapters, in: NBER Macroeconomics Annual 2001, Volume 16, pages 331-388, National Bureau of Economic Research, Inc.
    11. Catao, Luis A.V. & Terrones, Marco E., 2005. "Fiscal deficits and inflation," Journal of Monetary Economics, Elsevier, vol. 52(3), pages 529-554, April.
    12. Marco Del Negro & Giorgio E. Primiceri, 2015. "Time Varying Structural Vector Autoregressions and Monetary Policy: A Corrigendum," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(4), pages 1342-1345.
    13. Kapur, Muneesh & Behera, Harendra, 2012. "Monetary Transmission Mechanism in India: A Quarterly Model," MPRA Paper 70631, University Library of Munich, Germany.
    14. Khundrakpam, Jeevan Kumar, 2008. "Have Economic Reforms Affected Exchange Rate Pass-Through to Prices in India?," MPRA Paper 51658, University Library of Munich, Germany, revised Apr 2008.
    15. Lin, Hsin-Yi & Chu, Hao-Pang, 2013. "Are fiscal deficits inflationary?," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 214-233.
    16. Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 29, pages 107-142, November.
    17. Timothy Cogley & Giorgio E. Primiceri & Thomas J. Sargent, 2010. "Inflation-Gap Persistence in the US," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 43-69, January.
    18. Jouchi Nakajima & Toshiaki Watanabe, 2011. "Bayesian Analysis of Time-Varying Parameter Vector Autoregressive Model with the Ordering of Variables for the Japanese Economy and Monetary Policy," Global COE Hi-Stat Discussion Paper Series gd11-196, Institute of Economic Research, Hitotsubashi University.
    19. Jeevan Kumar Khundrakpam & Sitikantha Pattanaik, 2010. "Fiscal Stimulus and Potential Inflationary Risks: An Empirical Assessment of Fiscal Deficit and Inflation Relationship in India," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 25, pages 703-721.
    20. Jouchi Nakajima & Shigenori Shiratsuka & Yuki Teranishi, 2010. "The Effects of Monetary Policy Commitment: Evidence from Time- varying Parameter VAR Analysis," IMES Discussion Paper Series 10-E-06, Institute for Monetary and Economic Studies, Bank of Japan.
    21. Paul, Biru Paksha, 2009. "In search of the Phillips curve for India," Journal of Asian Economics, Elsevier, vol. 20(4), pages 479-488, September.
    22. Osorio, Carolina & Unsal, D. Filiz, 2013. "Inflation dynamics in Asia: Causes, changes, and spillovers from China," Journal of Asian Economics, Elsevier, vol. 24(C), pages 26-40.
    23. Click, Reid W, 1998. "Seigniorage in a Cross-Section of Countries," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 30(2), pages 154-171, May.
    24. Mr. Magnus Saxegaard & Rahul Anand & Mr. Shanaka J Peiris, 2010. "An Estimated Model with Macrofinancial Linkages for India," IMF Working Papers 2010/021, International Monetary Fund.
    25. Virmani, Vineet, 2004. "Estimating Output Gap for the Indian Economy: Comparing Results from Unobserved-Components Models and the Hodrick-Prescott Filter," IIMA Working Papers WP2004-04-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
    26. Christiane Baumeister & Eveline Durinck & Gert Peersman, 2008. "Liquidity, inflation and asset prices in a time-varying framework for the euro area," Working Paper Research 142, National Bank of Belgium.
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    Keywords

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    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • 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

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