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Inflation Expectations and Monetary Policy in India; An Empirical Exploration

  • Michael Debabrata Patra
  • Partha Ray
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    This paper pursues a computationally intensive approach to generate future inflation, followed by an exploration of the determinants of inflation expectations by estimating a new Keynesian type Phillips curve that takes into account country-specific characteristics, the stance of monetary and fiscal policies, marginal costs and exogenous supply shocks. The empirical results indicate that high and climbing inflation could easily seep into people’s anticipation of future inflation and linger. There is a reputational bonus for monetary policy to act against inflation now rather than going for cold turkey when societal compulsions reach a critical mass.

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    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=23719
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    Paper provided by International Monetary Fund in its series IMF Working Papers with number 10/84.

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    Length: 26
    Date of creation: 01 Apr 2010
    Date of revision:
    Handle: RePEc:imf:imfwpa:10/84
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    1. Michael T. Kiley, 2009. "Inflation expectations, uncertainty, the Phillips Curve, and monetary policy," Finance and Economics Discussion Series 2009-15, Board of Governors of the Federal Reserve System (U.S.).
    2. Blanchard, Olivier Jean, 1990. "Why does money affect output? A survey," Handbook of Monetary Economics, in: B. M. Friedman & F. H. Hahn (ed.), Handbook of Monetary Economics, edition 1, volume 2, chapter 15, pages 779-835 Elsevier.
    3. Taylor, John B, 1980. "Aggregate Dynamics and Staggered Contracts," Journal of Political Economy, University of Chicago Press, vol. 88(1), pages 1-23, February.
    4. N. Gregory Mankiw & Ricardo Reis & Justin Wolfers, 2004. "Disagreement about Inflation Expectations," NBER Chapters, in: NBER Macroeconomics Annual 2003, Volume 18, pages 209-270 National Bureau of Economic Research, Inc.
    5. Minella, Andre & de Freitas, Paulo Springer & Goldfajn, Ilan & Muinhos, Marcelo Kfoury, 2003. "Inflation targeting in Brazil: constructing credibility under exchange rate volatility," Journal of International Money and Finance, Elsevier, vol. 22(7), pages 1015-1040, December.
    6. James H. Stock & Mark W. Watson, 2006. "Why Has U.S. Inflation Become Harder to Forecast?," NBER Working Papers 12324, National Bureau of Economic Research, Inc.
    7. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003. "Instrumental variables and GMM: Estimation and testing," Stata Journal, StataCorp LP, vol. 3(1), pages 1-31, March.
    8. Martin Cerisola & Gaston Gelos, 2009. "What drives inflation expectations in Brazil? An empirical analysis," Applied Economics, Taylor & Francis Journals, vol. 41(10), pages 1215-1227.
    9. Tim Callen & Dongkoo Chang, 1999. "Modeling and Forecasting Inflation in India," IMF Working Papers 99/119, International Monetary Fund.
    10. Lucas, Robert Jr., 1972. "Expectations and the neutrality of money," Journal of Economic Theory, Elsevier, vol. 4(2), pages 103-124, April.
    11. Junttila, Juha, 2001. "Structural breaks, ARIMA model and Finnish inflation forecasts," International Journal of Forecasting, Elsevier, vol. 17(2), pages 203-230.
    12. Sophocles N. Brissimis & Nicholas S. Magginas, 2008. "Inflation Forecasts and the New Keynesian Phillips Curve," International Journal of Central Banking, International Journal of Central Banking, vol. 4(2), pages 1-22, June.
    13. David G. Blanchflower & Conall MacCoille, 2009. "The formation of inflation expectations: an empirical analysis for the UK," NBER Working Papers 15388, National Bureau of Economic Research, Inc.
    14. MINELLA André & DE FREITAS Paulo Springer & GOLDFAJN Ilan & KFOURY MUINHOS Marcelo, . "Inflation Targeting in Brazil: Constructing Credibility under Exchange Rate Volatility," EcoMod2003 330700103, EcoMod.
    15. Roberts, John M, 1995. "New Keynesian Economics and the Phillips Curve," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(4), pages 975-84, November.
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