Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-26T15:57:11.118Z Has data issue: false hasContentIssue false

MONETARY POLICY AND EXCHANGE RATES: A BALANCED TWO-COUNTRY COINTEGRATED VAR MODEL APPROACH

Published online by Cambridge University Press:  20 September 2017

Reinhold Heinlein*
Affiliation:
Keele University
Hans-Martin Krolzig
Affiliation:
University of Kent
*
Address correspondence to: Reinhold Heinlein, Keele Management School, Darwin Building DW0.51, Keele University, Staffordshire, ST5 5BG, United Kingdom; e-mail: [email protected].

Abstract

We study the exchange rate effects of monetary policy in a balanced macroeconometric two-country model for the United States and United Kingdom. In contrast to the empirical literature, which consistently treats the domestic and foreign countries unequally in the modeling process, we consider full model feedback, allowing for a thorough analysis of the system dynamics. The problem of model dimensionality is tackled by invoking the approach by Aoki (1981). Assuming country symmetry in the long run allows to decouple the two-country macrodynamics of country averages and differences such that the cointegration analysis can be applied to smaller systems. Second, the econometric modeling is general-to-specific, a graph-theoretic approach for the contemporaneous effects combined with automatic general-to-specific model selection. We find delayed overshooting of the exchange rate in the case of a Bank of England monetary shock but instantaneous response to a Fed shock. Altogether the response is more pronounced in the former case.

Type
Articles
Copyright
Copyright © Cambridge University Press 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

We are grateful to William A. Barnett and two anonymous referees, to Ralf Brüggemann, Sascha Buetzer, Miguel León-Ledesma, Helmut Lütkepohl, and the seminar audiences at Kent, University of Konstanz, DIW Macroeconometric Workshop 2011, Berlin, SNDE Symposium 2012, Istanbul, the ICMAIF 2012, Rethymno, the VfS Congress 2012, Göttingen, the RCEA Time Series Workshop 2013, Rimini and the IAAE 2014, London. The usual disclaimer applies.

References

REFERENCES

Aoki, M. (1981) Dynamic Analysis of Open Economies. New York: Academic Press.Google Scholar
Benkwitz, A., Lütkepohl, H., and Wolters, J. (2001) Comparison of bootstrap confidence intervals for impulse responses of German monetary systems. Macroeconomic Dynamics 5, 81100.Google Scholar
Bjørnland, H. C. (2009) Monetary policy and exchange rate overshooting: Dornbusch was right after all. Journal of International Economics 79, 6477.Google Scholar
Bouakez, H. and Normandin, M. (2010) Fluctuations in the foreign exchange market: How important are monetary policy shocks? Journal of International Economics 81, 139153.Google Scholar
Campos, J., Hendry, D. F., and Krolzig, H.-M. (2003) Consistent model selection by an automatic Gets approach. Oxford Bulletin of Economics and Statistics 65, 803819.Google Scholar
Cushman, D. O. and Zha, T. (1997) Identifying monetary policy in a small open economy under flexible exchange rates. Journal of Monetary Economics 39, 433448.Google Scholar
Demiralp, S. and Hoover, K. D. (2003) Searching for the causal structure of a vector autoregression. Oxford Bulletin of Economics and Statistics 65, 745767.Google Scholar
Dornbusch, R. (1976) Expectations and exchange rate dynamics. Journal of Political Economy 84, 1161–76.Google Scholar
Eichenbaum, M. and Evans, C. (1995) Some empirical evidence on the effects of shocks to monetary policy on exchange rates. Quarterly Journal of Economics 110, 9751009.Google Scholar
Faust, J. and Rogers, J. H. (2003) Monetary policy's role in exchange rate behavior. Journal of Monetary Economics 50, 14031424.Google Scholar
Frankel, J. A. (1979) On the mark: A theory of floating exchange rates based on real interest differentials. American Economic Review 69, 610622.Google Scholar
Gonzalo, J. and Granger, C. W. J. (1995) Estimation of common long-memory components in cointegrated systems. Journal of Business & Economic Statistics 13, 2735.Google Scholar
Granger, C. W. J. and Haldrup, N. (1997) Separation in cointegrated systems and persistent-transitory decompositions. Oxford Bulletin of Economics and Statistics 59, 449463.Google Scholar
Grilli, V. and Roubini, N. (1996) Liquidity models in open economies: Theory and empirical evidence. European Economic Review 40, 847859.Google Scholar
Hall, P. (1992) The Bootstrap and Edgeworth Expansion. New York: Springer.Google Scholar
Heinlein, R. and Krolzig, H.-M. (2012) Effects of monetary policy on the US Dollar/UK Pound exchange rate. Is there a ‘delayed overshooting puzzle’? Review of International Economics 20, 443467.Google Scholar
Hendry, D. F. and Krolzig, H.-M. (2005) The properties of automatic GETS modelling. Economic Journal 115, C62C98.Google Scholar
Hoover, K. D., Demiralp, S., and Perez, S. J. (2009) Empirical identification of the vector autoregression: The causes and effects of U.S. M2. In Castle, J. and Shephard, N. (eds.), The Methodology and Practice of Econometrics: A Festschrift in Honour of David F. Hendry, pp. 3758. Oxford: Oxford University Press.Google Scholar
Johansen, S. (1995) Likelihood-Based Inference in Cointegrated Vector Autoregressive Models. Oxford: Oxford University Press.Google Scholar
Juselius, K. (2006) The Cointegrated VAR Model. Oxford: Oxford University Press.Google Scholar
Kim, S. and Roubini, N. (2000) Exchange rate anomalies in the industrial countries: A solution with a structural VAR approach. Journal of Monetary Economics 45, 561586.Google Scholar
Kim, S.-H., Moon, S., and Velasco, C. (2014) Delayed Overshooting: It's an 80s Puzzle. Working paper No 1410, Centre for Dynamic Macroeconomic Analysis, University of St Andrews.Google Scholar
Konishi, T., Ramey, V. A., and Granger, C. W. (1993) Stochastic Trends and Short-Run Relationships between Financial Variables and Real Activity. Working paper 4275, National Bureau of Economic Research, Cambridge, MA.Google Scholar
Krolzig, H.-M. (2003) General-to-specific model selection procedures for structural vector autoregressions. Oxford Bulletin of Economics and Statistics 65, 769801.Google Scholar
Krolzig, H.-M. and Heinlein, R. (2013) Symmetry and Separability in Two-Country Cointegrated VAR Models: Representation and Testing. Working paper no. 23, School of Economics, University of Kent, Canterbury.Google Scholar
Linnemann, L. and Schabert, A. (2015) Liquidity premia and interest rate parity. Journal of International Economics 97, 178192.Google Scholar
Pearl, J. (2000) Causality: Models, Reasoning, and Inference. Cambridge: Cambridge University Press.Google Scholar
Pesaran, M. H., Schuermann, T., and Weiner, S. M. (2004) Modeling regional interdependencies using a global error-correcting macroeconometric model. Journal of Business and Economic Statistics 22 (2), 129162.Google Scholar
Romer, C. and Romer, D. (2004) A new measure of monetary shocks: Derivation and implications. American Economic Review 94, 1055–84.Google Scholar
Scholl, A. and Uhlig, H. (2008) New evidence on the puzzles: Results from agnostic identification on monetary policy and exchange rates. Journal of International Economics 76, 113.Google Scholar
Spirtes, P., Glymour, C., and Scheines, R. (2001) Causation, Prediction, and Search, 2nd ed. Cambridge, MA: MIT Press.Google Scholar
Spirtes, P., Scheines, R., Ramsey, J., and Glymour, C. (2005) Tetrad 4.3.3-0. Technical report, Carnegie Mellon University. Available at: http://www.phil.cmu.edu/tetrad.Google Scholar
Voss, G. and Willard, L. (2009) Monetary policy and the exchange rate: Evidence from a two-country model. Journal of Macroeconomics 31, 708720.Google Scholar