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MONEY AND MONETARY POLICY IN THE EUROZONE: AN EMPIRICAL ANALYSIS DURING CRISES

Published online by Cambridge University Press:  16 March 2016

Jonathan Benchimol
Affiliation:
Bank of Israel and EABCN
André Fourçans
Affiliation:
ESSEC Business School and THEMA
Corresponding
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Abstract

This paper analyzes the role of money and monetary policy as well as the forecasting performance of New Keynesian dynamic stochastic general equilibrium models with and without separability between consumption and money. The study is conducted over three crisis periods in the Eurozone, namely, the ERM crisis, the dot-com crisis, and the global financial crisis (GFC). The results of successive Bayesian estimations demonstrate that during these crises, the nonseparable model generally provides better out-of-sample output forecasts than the baseline model. We also demonstrate that money shocks have some impact on output variations during crises, especially in the case of the GFC. Furthermore, the response of output to a money shock is more persistent during the GFC than during the other crises. The impact of monetary policy also changes during crises. Insofar as the GFC is concerned, this impact increases at the beginning of the crisis, but decreases sharply thereafter.

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Articles
Copyright
Copyright © Cambridge University Press 2016 

Footnotes

This paper does not necessarily reflect the views of the Bank of Israel. We thank two anonymous referees for their helpful and constructive comments.

References

Adolfson, M., Laseen, S., Linde, J., and Villani, M. (2007) Bayesian estimation of an open economy DSGE model with incomplete pass-through. Journal of International Economics 72 (2), 481511.CrossRefGoogle Scholar
Andrés, J., López-Salido, J. D., and Nelson, E. (2009) Money and the natural rate of interest: Structural estimates for the United States and the euro area. Journal of Economic Dynamics and Control 33 (3), 758776.CrossRefGoogle Scholar
Andrés, J., López-Salido, J. D., and Vallés, J. (2006) Money in an estimated business cycle model of the euro area. Economic Journal 116 (511), 457477.CrossRefGoogle Scholar
Barnett, W.A. (1980) Economic monetary aggregates: An application of index number and aggregation theory. Journal of Econometrics 14 (1), 1148.CrossRefGoogle Scholar
Barthélemy, J., Clerc, L., and Marx, M. (2011) A two-pillar DSGE monetary policy model for the euro area. Economic Modelling 28 (3), 13031316.CrossRefGoogle Scholar
Bekiros, S.D. and Paccagnini, A. (2015) Macroprudential policy and forecasting using hybrid DSGE models with financial frictions and state space Markov-switching TVP-VARs. Macroeconomic Dynamics 19 (7), 15651592.CrossRefGoogle Scholar
Belongia, M.T. and Ireland, P.N. (2014) The Barnett critique after three decades: A New Keynesian analysis. Journal of Econometrics 183 (1), 521.CrossRefGoogle Scholar
Benchimol, J. (2014) Risk aversion in the Eurozone. Research in Economics 68 (1), 3956.CrossRefGoogle Scholar
Benchimol, J. (2015) Money in the production function: A New Keynesian DSGE perspective. Southern Economic Journal 82 (1), 152184.Google Scholar
Benchimol, J. and Fourçans, A. (2012) Money and risk in a DSGE framework: A Bayesian application to the Eurozone. Journal of Macroeconomics 34 (1), 95111.CrossRefGoogle Scholar
Calvo, G. (1983) Staggered prices in a utility-maximizing framework. Journal of Monetary Economics 12 (3), 383398.CrossRefGoogle Scholar
Canova, F. and Menz, G. (2011) Does money matter in shaping domestic business cycles? An international investigation. Journal of Money, Credit and Banking 43 (4), 577607.CrossRefGoogle Scholar
Casares, M. (2007) Monetary policy rules in a New Keynesian euro area model. Journal of Money, Credit and Banking 39 (4), 875900.CrossRefGoogle Scholar
Cecchetti, S. (2009) Crisis and responses: The Federal Reserve in the early stages of the financial crisis. Journal of Economic Perspectives 23 (1), 5175.CrossRefGoogle Scholar
Chadha, J., Corrado, L., and Holly, S. (2014) A note on money and the conduct of monetary policy. Macroeconomic Dynamics 18 (8), 18541883.CrossRefGoogle Scholar
Del Negro, M., Schorfheide, F., Smets, F., and Wouters, R. (2007) On the fit of New Keynesian models. Journal of Business and Economic Statistics 25, 123143.CrossRefGoogle Scholar
De Santis, R., Favero, C., and Roffia, B. (2013) Euro area money demand and international portfolio allocation: A contribution to assessing risks to price stability. Journal of International Money and Finance 32 (C), 377404.CrossRefGoogle Scholar
Edge, R.M. and Gürkaynak, R.S. (2010) How useful are estimated DSGE model forecasts for central bankers? Brookings Papers on Economic Activity 41 (2), 209259.CrossRefGoogle Scholar
Edge, R.M., Kiley, M.T., and Laforte, J.-P. (2010) A comparison of forecast performance between Federal Reserve staff forecasts, simple reduced-form models, and a DSGE model. Journal of Applied Econometrics 25 (4), 720754.CrossRefGoogle Scholar
El-Shagi, M. and Giesen, S. (2013) Money and inflation: Consequences of the recent monetary policy. Journal of Policy Modeling 35 (4), 520537.CrossRefGoogle Scholar
El-Shagi, M., Giesen, S., and Kelly, L.J. (2015) The quantity theory revisited: A new structural approach. Macroeconomic Dynamics 19 (1), 5878.CrossRefGoogle Scholar
Fagan, G., Henry, J., and Mestre, R. (2001) An Area-Wide Model (AWM) for the Euro Area. Working paper series 42, European Central Bank.Google Scholar
Fernández-Villaverde, J. and Rubio-Ramírez, J.F. (2004) Comparing dynamic equilibrium models to data: A Bayesian approach. Journal of Econometrics 123 (1), 153187.CrossRefGoogle Scholar
Galí, J. (2008) Monetary Policy, Inflation and the Business Cycle: An Introduction to the New Keynesian Framework. Princeton, NJ: Princeton University Press.Google Scholar
Geweke, J., Keane, M., and Runkle, D. (1997) Statistical inference in the multinomial multiperiod probit model. Journal of Econometrics 80 (1), 125165.CrossRefGoogle Scholar
Giacomini, R. and White, H. (2006) Tests of conditional predictive ability. Econometrica 74 (6), 15451578.CrossRefGoogle Scholar
Hendrickson, J.R. (2014) Redundancy or mismeasurement? A reappraisal of money. Macroeconomic Dynamics 18, 14371465.CrossRefGoogle Scholar
Hurtado, S. (2014) DSGE models and the Lucas critique. Economic Modelling 44 (S1), S12S19.CrossRefGoogle Scholar
Ireland, P. (2003) Endogenous money or sticky prices? Journal of Monetary Economics 50 (8), 16231648.CrossRefGoogle Scholar
Ireland, P. (2004) Money's role in the monetary business cycle. Journal of Money, Credit and Banking 36 (6), 969983.CrossRefGoogle Scholar
Iskrev, N. (2010) Local identification in DSGE models. Journal of Monetary Economics 57 (2), 189202.CrossRefGoogle Scholar
Jacquier, E., Polson, N., and Rossi, P. (2002) Bayesian analysis of stochastic volatility models. Journal of Business and Economic Statistics 20 (1), 6987.CrossRefGoogle Scholar
Jones, B. and Stracca, L. (2006) Are Money and Consumption Additively Separable in the Euro Area? A Non-parametric Approach. Working paper series 704, European Central Bank.Google Scholar
Kelly, L.J., Barnett, W.A., and Keating, J.W. (2011) Rethinking the liquidity puzzle: Application of a new measure of the economic money stock. Journal of Banking and Finance 35 (4), 768774.CrossRefGoogle Scholar
Koop, G. (2003) Bayesian Econometrics. New York: John Wiley and Sons.Google Scholar
Mishkin, F. (2010) Over the cliff: From the subprime to the global financial crisis. Journal of Economic Perspectives 25 (1), 4970.CrossRefGoogle Scholar
Rabanal, P. and Rubio-Ramírez, J. (2005) Comparing New Keynesian models of the business cycle: A Bayesian approach. Journal of Monetary Economics 52 (6), 11511166.CrossRefGoogle Scholar
Ratto, M. (2008) Analysing DSGE models with global sensitivity analysis. Computational Economics 31 (2), 115139.CrossRefGoogle Scholar
Sims, C. and Zha, T. (1998) Bayesian methods for dynamic multivariate models. International Economic Review 39 (4), 949–68.CrossRefGoogle Scholar
Smets, F. and Wouters, R. (2003) An estimated dynamic stochastic general equilibrium model of the euro area. Journal of the European Economic Association 1 (5), 11231175.CrossRefGoogle Scholar
Smets, F. and Wouters, R. (2007) Shocks and frictions in US business cycles: A Bayesian DSGE approach. American Economic Review 97 (3), 586606.CrossRefGoogle Scholar
Söderström, U. (2005) Targeting inflation with a role for money. Economica 72 (288), 577596.CrossRefGoogle Scholar
Taylor, J. (1993) Discretion versus policy rules in practice. Carnegie-Rochester Conference Series on Public Policy 39 (1), 195214.CrossRefGoogle Scholar
Villa, S. (in press) Financial frictions in the euro area and the United States: A Bayesian assessment. Macroeconomic Dynamics.Google Scholar
Woodford, M. (2003) Interest and Prices: Foundations of a Theory of Monetary Policy. Princeton, NJ: Princeton University Press.Google Scholar
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