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Large Datasets, Small Models and Monetary Policy in Europe

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  • Carlo A. Favero
  • Massimiliano Marcellino

Abstract

Nowadays a considerable amount of information on the behavior of the economy is readily available, in the form of large datasets of macroeconomic variables. Central bankers can be expected to base their decisions on this very large information set, so that it can be difficult to track their decisions using small models, such as standard Taylor rules. Small scale structural VARs can suffer from a similar problem when used to highlight stylized facts or for policy simulation exercises. On the other hand, large scale structural models are hardly manageable, and still suffer from those identification problems that led to the success of VARs. In this paper we combine recent time-series techniques for the analysis of large datasets with more traditional small scale models to analyze monetary policy in Europe. In particular, we model hundreds of macroeconomic variables with a dynamic factor model, and summarize their informational content with a few estimated factors. These factors are then used as instruments in the estimation of forward looking Taylor rules, and as additional regressors in structural VARs. The latter are then used to evaluate the effects of unexpected and systematic monetary policy.

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Paper provided by IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University in its series Working Papers with number 208.

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Handle: RePEc:igi:igierp:208

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Cited by:
  1. Hilde C. Bjørnland, 2005. "Monetary policy and exchange rate interactions in a small open economy," Working Paper 2005/16, Norges Bank.
  2. Belviso Francesco & Milani Fabio, 2006. "Structural Factor-Augmented VARs (SFAVARs) and the Effects of Monetary Policy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 6(3), pages 1-46, December.
  3. Massimiliano Marcellino, . "Forecasting EMU macroeconomic variables," Working Papers 216, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  4. Fabio C. Bagliano & Claudio Morana, 2006. "A New Approach to Factor Vector Autoregressive Estimation with an Application to Large-Scale Macroeconometric Modelling," Carlo Alberto Notebooks 28, Collegio Carlo Alberto.
  5. Francesco Daveri & Andrea Mascotto, . "The IT revolution across the U.S. states," Working Papers 226, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  6. Marcellino, Massimiliano, 2002. "Some Stylized Facts on Non-Systematic Fiscal Policy in the Euro Area," CEPR Discussion Papers 3635, C.E.P.R. Discussion Papers.
  7. Hilde C. Bjørnland, 2005. "Monetary policy and the illusionary exchange rate puzzle," Working Paper 2005/11, Norges Bank.
  8. Carlo Ambrogio Favero & Massimilano Marcellino & Francesca Neglia, . "Principal components at work: The empirical analysis of monetary policy with large datasets," Working Papers 223, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  9. Lucrezia Reichlin, 2003. "Factor models in large cross sections of time series," ULB Institutional Repository 2013/10179, ULB -- Universite Libre de Bruxelles.
  10. Giannone, Domenico & Reichlin, Lucrezia & Sala, Luca, 2002. "Tracking Greenspan: Systematic and Unsystematic Monetary Policy Revisited," CEPR Discussion Papers 3550, C.E.P.R. Discussion Papers.
  11. Mark J. Holmes & Arthur Grimes, 2005. "Is there long-run convergence of regional house prices in the UK?," Working Papers 05_11, Motu Economic and Public Policy Research.
  12. Fabio Bagliano & Claudio Morana, 2008. "Factor vector autoregressive estimation: a new approach," Journal of Economic Interaction and Coordination, Springer, vol. 3(1), pages 15-23, June.
  13. James H. Stock & Mark W. Watson, 2005. "Implications of Dynamic Factor Models for VAR Analysis," NBER Working Papers 11467, National Bureau of Economic Research, Inc.

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