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  • Jacek Suda (a1) and Anastasia S. Zervou (a2)

We study whether monetary authorities in the G7 countries were changing their responses to inflation in a similar manner during and following the Great Inflation era. We find that the common to the G7 countries inflation pattern during the Great Inflation period could be associated with a common pattern in the monetary policy response to inflation: we find that until the early 1980s monetary authorities in the G7 countries responded mildly to inflation, systematically fought it throughout the 1980s and lessened again their response during the 2000s. The estimated Taylor rule coefficients on inflation are co-integrated, implying the existence of a long-run relationship in the responses to inflation during and after the Great Inflation period. At the same time, principal component analysis of the residuals of the estimated Taylor rules indicates that the shocks' structure cannot account enough for the monetary policies' co-movements. We interpret these findings as suggestive of common monetary policy patterns.

Corresponding author
Address correspondence to: Anastasia S. Zervou, Texas A&M University, 4228 TAMU, College Station, TX 77843, USA; e-mail:
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We are very grateful to James Morley for his direction and support. We are very grateful to Chang-Jin Kim for sharing computer routines. We also thank James Bullard, Anindya Banerjee, Siddhartha Chib, Yunjong Eo, Anna Mikusheva, Athanasios Orphanides, B. Ravikumar, Barbara Rossi, Aarti Singh, Thanasis Stengos, the editor, two referees, participants of seminars at the University of Houston, Texas A&M University, Banque de France, Bank of Netherlands, Tilburg University, the Midwest Macroeconomics Conference, the Conference on Computing in Economics and Finance, the 15th Texas Camp Econometrics, the 8th Conference on Research on Economic Theory & Econometrics and the Midwest Econometric Group for helpful comments.

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Bai, J. and Ng, S. (2002) Determining the number of factors in approximate factor models. Econometrica 70 (1), 191221.
Baxa, J., Horváth, R., and Vašícek, B. (2014) How does monetary policy change? Evidence on inflation-targeting countries. Macroeconomic Dynamics 18 (3), 593630.
Blinder, A. S. (1982) The anatomy of double-digit inflation in the 1970s. In Hall, R. E. (ed.), Inflation: Causes and Effects, pp. 261282. Chicago, IL:University of Chicago Press.
Boivin, J. (2006) Has U.S. monetary policy changed? Evidence from drifting coefficients and real-time data. Journal of Money, Credit and Banking 38 (5), 11491173.
Bullard, J. and Singh, A. (2008) Worldwide macroeconomic stability and monetary policy rules. Journal of Monetary Economics 55 (1), 3447.
Canova, F. and Ciccarelli, M. (2009) Estimating multicountry VAR models. International Economic Review 50 (3), 929959.
Chang, Y., Park, J. Y., and Song, K. (2006) Bootstrapping cointegrating regressions. Journal of Econometrics 133 (2), 703739.
Chatterjee, A. (2010) Globalization and monetary policy: An empirical analysis. Journal of International Money and Finance 68, 181202.
Clarida, R., Galí, J., and Gertler, M. (1998) Monetary policy rules in practice. Some international evidence. European Economic Review 42, 10331067.
Clarida, R., Galí, J., and Gertler, M. (2000) Monetary policy rules and macroeconomic stability: Evidence and some theory. Quarterly Journal of Economics 115 (1), 147180.
Clarida, R. and Gertler, M. (1997) How the Bundesbank conducts monetary policy. In Romer, C. D. and Romer, D. H. (eds.), Reducing Inflation: Motivation and Strategy, pp. 363412. Chicago, IL: University of Chicago Press.
Cogley, T. and Sargent, T. J. (2005) The conquest of US inflation: Learning and robustness to model uncertainty. Review of Economic Dynamics 8 (2), 528563.
Creel, J. and Hubert, P. (2015) Has inflation targeting changed the conduct of monetary policy? Macroeconomic Dynamics 19 (1), 121.
DeLong, B. J. (1997) America's peacetime inflation: The 1970's. In Romer, C. D. and Romer, D. H. (eds.), Reducing Inflation: Motivation and Strategy, pp. 247276. Chicago, IL: University of Chicago Press.
DiCecio, R. and Nelson, E. (2009) The Great Inflation in the United States and the United Kingdom: Reconciling Policy Decisions and Data Outcomes. Working papers (015-B), Federal Reserve Bank of St. Louis.
Engle, R. and Granger, C. (1987) Co-integration and error correction: Representation, estimation, and testing. Econometrica 55 (2), 251276.
Fernandez-Villaverde, J., Guerron, P. A., and Rubio-Ramirez, J. F. (2010) Reading the recent monetary history of the United States, 1959–2007. Federal Reserve Bank of St. Louis Review 92 (4), 311338.
Friedman, M. and Allen, G. (1970) The Counter-revolution in Monetary Theory: First Wincott Memorial Lecture, delivered at the Senate House, University of London, 16 September, 1970. London: Institute of Economic Affairs for Wincott Foundation.
Goodfriend, M. (1991) Interest rates and the conduct of monetary policy. Carnegie-Rochester Conference Series on Public Policy 34, 730.
Guerron, P. A. (2013) Common and idiosyncratic disturbances in developed small open economies. Journal of International Economics 90 (1), 3349.
Hamilton, J. D. (1994) Time Series Analysis. Princeton, NJ: Princeton University Press.
Johansen, S. (1991) Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models. Econometrica 59 (6), 15511580.
Johansen, S. (1995) Likelihood-Based Inference in Cointegrated Vector Autoregressive Models. Oxford, UK: Oxford University Press.
Johansen, S. and Juselius, K. (1990) Maximum likelihood estimation and inference on cointegration–with applications to the demand for money. Oxford Bulletin of Economics and Statistics 55 (2), 169210.
Kim, C.-J. (2006) Time-varying parameter models with endogenous regressors. Economics Letters 91 (1), 2126.
Kim, C.-J. (2008) Dealing with endogeneity in regression models with dynamic coefficients. Foundations and Trends in Econometrics 3 (3), 188.
Kim, C.-J., Kishor, K., and Nelson, C. R. (2006) A Time-Varying Parameter Model for a Forward-Looking Monetary Policy Rule Based on Real-Time Data. Working paper UWEC-2007-32, University of Washington.
Kim, C.-J. and Nelson, C. R. (1989) The time-varying-parameter model for modeling changing conditional variance: The case of the Lucas hypothesis. Journal of Business & Economic Statistics 7 (4), 433–40.
Kim, C.-J. and Nelson, C. R. (2006) Estimation of a forward-looking monetary policy rule: A time-varying parameter model using ex post data. Journal of Monetary Economics 53 (8), 19491966.
Kishor, N. K. (2012) A note on time variation in a forward-looking monetary policy rule: Evidence from European countries? Macroeconomic Dynamics 16 (S3), 422437.
Kose, A., Otrok, C., and Whiteman, C. H. (2003) International business cycles: World, region, and country-specific factors. American Economic Review 93 (4), 12161239.
Lubik, T. A. and Schorfheide, F. (2004) Testing for indeterminacy: An application to U.S. monetary policy. American Economic Review 94 (1), 190217.
MacKinnon, J. G., Haug, A., and Michelis, L. (2000) European Monetary Union: A cointegration analysis. Journal of International Money and Finance 19 (3), 419432.
Mavroeidis, S. (2010) Monetary policy rules and macroeconomic stability: Some new evidence. American Economic Review 100 (1), 491503.
Meltzer, A. H. (2005) Origins of the great inflation. Federal Reserve Bank of St. Louis Review 87 (2), 145176.
Morley, J., Piger, J., and Rasche, R. (2015) Inflation in the G7: Mind the gap(s)? Macroeconomic Dynamics 19 (4), 130.
Mumtaz, H. and Surico, P. (2009) The transmission of international shocks: A factor-augmented VAR approach. Journal of Money, Credit and Banking 41 (1), 71100.
Nelson, E. (2005a) The Great Inflation of the seventies: What really happened? Advances in Macroeconomics 5 (1), 12971297.
Nelson, E. (2005b) Monetary policy neglect and the Great Inflation in Canada, Australia and New Zealand. International Journal of Central Banking 1 (1), 133179.
Nelson, E. (2007) The Great Inflation and early disinflation in Japan and Germany. International Journal of Central Banking 3 (4), 2376.
Nikolsko-Rzhevskyy, A. and Papell, D. (2012) Taylor rules and the great inflation. Journal of Macroeconomics 34 (4), 903918.
Orphanides, A. (2002) Monetary-policy rules and the great inflation. American Economic Review 92 (2), 115120.
Pagan, A. R. (1984) Econometric issues in the analysis of regressions with generated regressors. International Economic Review 25 (1), 221247.
Primiceri, G. (2005) Time varying structural vector autoregressions and monetary policy. Review of Economic Studies 72 (1), 821852.
Psaradakis, Z. (2001) On bootstrap inference in cointegrating regressions. Economics Letters 72 (1), 110.
Romer, C. D. (2005) Commentary on “Origins of the Great Inflation.” Federal Reserve Bank od St. Louis Review 87 (2), 177186.
Romer, C. D. and Romer, D. H. (2002) A rehabilitation of monetary policy in the 1950s. American Economic Review 92 (2), 121127.
Romer, C. D. and Romer, D. H. (2004) Choosing the Federal Reserve chair: Lessons from history. Journal of Economic Perspectives 18 (1), 129162.
Sargent, T., Williams, N., and Zha, T. (2006) Shocks and government beliefs: The rise and fall of American inflation. American Economic Review 96 (4), 11931224.
Sargent, T. J. (1999) The Conquest of American Inflation. Princeton, NJ: Princeton University Press.
Sims, C. and Zha, T. (2006) Were there regime switches in U.S. monetary policy? American Economic Review 96 (1), 5481.
Taylor, J. (2007) Housing and monetary policy. Proceedings of the Economic Policy Symposium–Jackson Hole 2007, pp. 463–476. Kansas City: Federal Reserve Bank.
Tsay, R. S. (2010) Analysis of Financial Time Series. Wiley Series in Probability and Statistics. Hoboken, NJ: John Willey & Sons.
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Macroeconomic Dynamics
  • ISSN: 1365-1005
  • EISSN: 1469-8056
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