Nair, Manju S (2014): Inflation Dynamics in India: An Analysis.
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Abstract
India has exhibited high variability in inflation during the last eight years owing to both internal and external factors. The Global Financial Meltdown, recurrent increase in global oil prices, wage employment programmes, widening current account deficits etc resulted in fluctuations in inflation. These factors have a direct influence on variables like output, money supply, exchange rate which in turn affect inflation. In this context, the study employs a Cointegrated Vector Auto Regression framework to analyse inflation dynamics in India. The determinants identified to affect inflation in India include broad money supply, exchange rate and output, which is substantiated by the existing theories of inflation. There exists a cointegrating relation between inflation and its determinants and in the short run inflation adjusts to past changes and policy fundamentals as inferred from the Error Correction Model. The Impulse Response Function traces out a stable relationship of inflation with its identified determinants.
Item Type: | MPRA Paper |
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Original Title: | Inflation Dynamics in India: An Analysis |
English Title: | Inflation Dynamics in India: An Analysis |
Language: | English |
Keywords: | Inflation dynamics, co-integration, impulse response |
Subjects: | E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E31 - Price Level ; Inflation ; Deflation |
Item ID: | 57110 |
Depositing User: | Manju Saraswathy Nair |
Date Deposited: | 05 Jul 2014 06:15 |
Last Modified: | 30 Sep 2019 23:38 |
References: | Callen, T. and Changi, D. (1999) ‘Modeling and Forecasting Inflation in India’, IMF Working Paper, WP/99/119, Washington D.C, International Monetary Fund. Enders W. (1995). ‘Applied Econometric Time Series’, John Wiley and Sons, Inc. New York. Engel R.F and C.W.J. Granger. (1987). ‘Cointegration and Error Correction Representation, Estimation and Testing’, Econometrica, Vol.55, Issue 2, March, pp.251-256. Gujarati, D.N. (2004). ‘Basic Econometrics’, Tata Mc-Graw-Hill Publishing Company Limited, Fourth Edition, New Delhi. Johansen, Soren. (1998). ‘Statistical analysis of cointegration vectors’ Journal of Economic Dynamics and Control, Vol.12.No 2-3, June-September, pp.231-254. Johansen, Soren and Juselius. (1991). ‘Estimation and hypothesis testing of cointegration vectors in Gaussian Vector Autoregressive models’ Econometrica, Vol.59, No.6,(November, pp. 1551-1580. John, R.M. (2003). ‘Inflation in India: An Analysis using Post Liberalised Data’ IGIDR Working Paper. Nachane, D.M. (2006), ‘Econometrics: Theoretical Foundations and Empirical Perspectives, OUP, India. Panda, C. (2008). ‘Do Interest Rates Matter for Stock Markets’, Economic and Political Weekly, Vol.28, Jan 2-9, pp.39-42. Patra D. and Partha R. (2010). ‘Inflation Expectations and Monetary Policy in India : An Empirical Explanation’, IMF Working Paper, WP/10/84, Washington D.C, International Monetary Fund. Sahadudhen, I. (2012). ‘A Cointegration and Error Correction Approach to the Determinants of Inflation in India’, International Journal of Economic Research, Vol.3(1), 105-112. Salian, Prasanna and Gopakumar, K. (2012). ‘ Inflation and Economic Growth in India – An Empirical Analysis’, available at http:/ www.ebookbrowsee.net Shivam, M. and M. Jayadev. (2004). ‘The Interest Rate Term Structure in the Indian Money Market’, paper presented at the VIth Annual Conference on Money and Finance, March 25-27, Indira Gandhi Institute of Development Research, Mumbai. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/57110 |