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Emil Margaritov
- 24 March 2011
- WORKING PAPER SERIES - No. 1313Details
- Abstract
- We study the effects of information shocks on macroeconomic and term structure dynamics in an estimated medium-scale DSGE model for the US economy. We consider news about total factor productivity and investment-specific technology, as well as foresight about monetary policy. Our empirical investigation confirms the findings of previous studies on the limited role played by productivity news in this class of models. In contrast, we uncover a non-trivial role for investment-specific news and anticipated monetary policy shocks not only in the historical and variance decomposition of real economic variables but also for the overall dynamic behaviour of the term structure of interest rates. We also document substantial qualitative differences in the dynamic responses of the macro-economy and the bond yield term structure to anticipated and surprise structural and policy innovations.
- JEL Code
- E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
E43 : Macroeconomics and Monetary Economics→Money and Interest Rates→Interest Rates: Determination, Term Structure, and Effects
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
- 10 June 2010
- WORKING PAPER SERIES - No. 1210Details
- Abstract
- Estimations of simple monetary policy rules are often very rigid. Standard practice requires that a decision is made as to which indicators the central bank is assumed to respond to, ignoring the data-rich environment in which policy-makers typically form their decisions. However, the choice of the feedback variables in the estimations of simple rules bears non-trivial implications for the prescriptions borne from these rules. This paper addresses this issue for the euro area using a new comprehensive real-time database for the euro area and examines the ECB’s past interest-rate setting behaviour in two complementary ways that are designed to deal with both model and data uncertainty. In a first step we follow the “thick-modelling” approach suggested by Granger and Jeon (2004) and estimate a series of 3,330 policy rules. In a second step we employ a factor-model approach similar to Bernanke and Boivin (2003) for the US Fed, but with structurally interpretable factors à la Belviso and Milani (2006). Taken together, we find a strong justification for the need of adopting robust approaches to describe the historical evolution of euro area monetary policy. We also find that the ECB is neither purely backward nor forward-looking, but reacts to a synthesis of the available information on the current and future state of the economy.
- JEL Code
- C50 : Mathematical and Quantitative Methods→Econometric Modeling→General
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies