Kim, Chang-Jin and Manopimoke, Pym and Nelson, Charles (2013): Trend Inflation and the Nature of Structural Breaks in the New Keynesian Phillips Curve. Forthcoming in: Journal of Money, Credit, and Banking
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Abstract
In this paper, we investigate the nature of structural breaks in inflation by estimating a version of the New Keynesian Phillips curve (NKPC) in the presence of a unit root in inflation. We show that, with a unit root in inflation, the NKPC implies an unobserved components model that consists of three components: a stochastic trend component, a component that depends upon current and future forecasts of real economic activity, and a stationary component which is potentially serially correlated (or a component of inflation that is not explained by the conventional forward-looking NKPC). Our empirical results suggest that, with an increase in trend inflation during the Great Inflation period, the response of inflation to real economic activity decreases and the persistence of the inflation gap increases due to an increase in the persistence of the unobserved stationary component. These results are in line with the predictions of Cogley and Sbordone (2008), who show that the coefficients of the NKPC are functions of time-varying trend inflation.
Item Type: | MPRA Paper |
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Original Title: | Trend Inflation and the Nature of Structural Breaks in the New Keynesian Phillips Curve |
Language: | English |
Keywords: | New Keynesian Phillips Curve, Trend Inflation, Inflation Gap, Unobserved Components Model, Structural Breaks |
Subjects: | E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E31 - Price Level ; Inflation ; Deflation |
Item ID: | 51356 |
Depositing User: | Chang-Jin Kim |
Date Deposited: | 12 Nov 2013 06:37 |
Last Modified: | 28 Sep 2019 21:45 |
References: | [1] Ascari, Guido. (2004) “Staggered Prices and Trend Inflation: Some Nuisances.” Review of Economics Dynamics, 7, 642-667. [2] Beveridge, Stephen, and Charles R. Nelson. (1981) “A New Approach to the Decomposition of Economic Time Series into Permanent and Transitory Components with Particular Attention to Measurement of the ‘Business Cycle’.” Journal of Monetary Economics, 7, 151-174. [3] Chib, Siddhartha. (1998) “Estimation and Comparison of Multiple Change-Point Models.” Journal of Econometrics, 86, 221-241. [4] Cogley, Timothy, and Thomas J. Sargent. (2002) “Evolving Post-World War II U.S. Inflation Dynamics.” In NBER Macroeconomics Annual 2001, edited by Mark Gertler and Kenneth Rogoff, pp. 331-373. Cambridge MA: The MIT Press. [5] Cogley, Timothy, and Thomas J. Sargent. (2005) “Drifts and Volatilities: Monetary Policies and Outcomes in Post WWII US.” Review of Economic Dynamics, 8, 262-302. [6] Cogley, Timothy, Giorgio E. Primiceri, and Thomas J. Sargent. (2010) “Inflation-Gap Persistence in the US.” American Economic Journal: Macroeconomics, 2(1), 43-69. [7] Cogley, Timothy, Argia M. Sbordone. (2008) “Trend Inflation, Indexation, and Inflation Persistence in the New Keynesian Phillips Curve.” American Economic Review, 98(5), 2101-2126. [8] Goodfriend, Marvin, and Robert G. King. (2012) “The Great Inflation Drift.” In The Great Inflation: The Rebirth of Modern Central Banking, edited by Michael D. Bordo and Athanasios [9] Orphanides, Chicago: University of Chicago Press. Harvey, Andrew C.. (2011) “Modeling the Phillips Curve with Unobserved Components.” Applied Financial Economics, 21(1-2), 7-17. [10] Ireland, Peter N.. (2007) “Changes in the Federal Reserve’s Inflation Target: Causes and Consequences.” [11] Journal of Money, Credit and Banking, 39(8), 1851-2110. Kang, Kyu Ho, Chang-Jin Kim, and James Morley. (2009) “Changes in U.S. Inflation Persistence.” Studies in Nonlinear Dynamics & Econometrics, 13(4), Article 1. [12] Kim, Chang-Jin. (1994) “Dynamic Linear Models with Markov-switching.” Journal of Econometrics, 60(1-2), 1-22. [13] Kim, Chang-Jin, and Charles R. Nelson. (1999) “Has the US Economy Become More Stable? A Bayesian Approach Based on a Markov-Switching Model of the Business Cycle.” Review of Economics and Statistics, 81(4), 608616. [14] Lee, Jaejoon, and Charles R. Nelson. (2007) “Expectation Horizon and the Phillips Curve: The Solution to an Empirical Puzzle.” Journal of Applied Econometrics, 22, 161-178. [15] McConnell, Margaret M., and Gabriel Perez-Quiros. (2000) “Output Fluctuations in the United States: What has Changed Since the Early 1980s?” American Economic Review, 90, 1464-1476. [16] Murray, Christian J., Alex Nikolsko-Rzhevskyy, and David H. Papell. (2009) “Inflation Persistence and the Taylor Principle.” MPRA Paper No. 11353, University Library of Munich, Germany. [17] Nelson, Charles R., and G. William Schwert. (1977) “Short-term Interest Rates as Predictors of Inflation: On Testing the Hypothesis that the Real Rate of Interest is Constant.” American Economic Review, 67(3), 478-486. [18] Primiceri, Giorgio E.. (2005) “Time Varying Structural Vector Autogregressions andMonetary Policy.” Review of Economic Studies, 72(3), 821-852. [19] Sims, Christopher A., and Tao Zha. (2006) “Were There Regime Switches in U.S. Monetary Policy?” American Economic Review, 96, 54-81. [20] Smets, Frank, and Raf Wouters. (2003) “An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area.” Journal of the European Economic Association, 1(5), 1123-1175. [21] Stock, James H., and Mark W. Watson. (2007) “Why Has U.S. Inflation Become Harder to Forecast?” Journal of Money, Credit and Banking, 39(1), 3-33. [22] Woodford, Michael. (2008) “How Important is Money in the Conduct of Monetary Policy?” Journal of Money, Credit, and Banking, 40(8), 1561-1598. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/51356 |