Employee Profile

Fabio Canova

Professor - Department of Economics


Canova, Fabio & Matthes, Christian (2021)

A Composite Likelihood Approach for Dynamic Structural Models

Economic Journal, 131, s. 2447- 2474. Doi: 10.1093/ej/ueab004

We explain how to use the composite likelihood function to ameliorate estimation, computational and inferential problems in dynamic stochastic general equilibrium models. We combine the information present in different models or data sets to estimate the parameters common across models. We provide intuition for why the methodology works and alternative interpretations of the estimators we construct and of the statistics we employ. We present a number of situations where the methodology has the potential to resolve well-known problems and to provide a justification for existing practices that pool different estimates. In each case, we provide an example to illustrate how the approach works and its properties in practice.

Canova, Fabio & Matthes, Christian (2021)

Dealing with misspecification in structural macroeconometric models

Quantitative Economics, 12(2), s. 313- 350. Doi: 10.3982/QE1413

We consider a set of potentially misspecified structural models, geometrically combine their likelihood functions, and estimate the parameters using composite methods. In a Monte Carlo study, composite estimators dominate likelihood‐based estimators in mean squared error and composite models are superior to individual models in the Kullback–Leibler sense. We describe Bayesian quasi‐posterior computations and compare our approach to Bayesian model averaging, finite mixture, and robust control procedures. We robustify inference using the composite posterior distribution of the parameters and the pool of models. We provide estimates of the marginal propensity to consume and evaluate the role of technology shocks for output fluctuations.

Canova, Fabio; Ferroni, Filippo & Matthes, Christian (2020)


International Economic Review, 61(1), s. 105- 125. Doi: 10.1111/iere.12418 - Full text in research archive

We study how structural parameter variations affect the decision rules and economic inference. We provide diagnostics to detect parameter variations and to ascertain whether they are exogenous or endogenous. A constant parameter model poorly approximates a time‐varying data generating process (DGP), except in a handful of relevant cases. Linear approximations do not produce time‐varying decision rules; higher‐order approximations can do this only if parameter disturbances are treated as decision rule coefficients. Structural responses are time invariant regardless of order of approximation. Adding endogenous variations to the parameter controlling leverage in Gertler and Karadi's model substantially improves the fit of the model.

Altavilla, Carlo; Canova, Fabio & Ciccarelli, Matteo (2019)

Mending the broken link: Heterogeneous bank lending rates and monetary policy pass-through

Journal of Monetary Economics, s. 1- 18. Doi: 10.1016/j.jmoneco.2019.01.001 - Full text in research archive

Canova, Fabio & Sahneh, Mehdi Hamidi (2018)

Are Small-Scale SVARs Useful for Business Cycle Analysis? Revisiting Nonfundamentalness

Journal of the European Economic Association, 16(4), s. 1069- 1093. Doi: 10.1093/jeea/jvx032

Bluwstein, Kristina & Canova, Fabio (2016)

Beggar-thy-neighbor? The international effects of ECB unconventional monetary policy measures

The International Journal of Central Banking, 12(3), s. 69- 120.

Altavilla, Carlo; Canova, Fabio & Ciccarelli, Matteo (2017)

Mending the Broken Link: Heterogeneous Bank Lending and Monetary Policy Pass-through

[Academic lecture]. Recent Developments in Monetary Policy Research.

Academic Degrees
Year Academic Department Degree
1992 Brown University, Providence, RI, USA M.A.
1988 University of Minnesota Ph.D.
1982 University of Southern California, Los Angeles, CA.,USA M.A. in Business Economics
1980 University of Modena, Modena, Italy B.A. in Economics
Work Experience
Year Employer Job Title
2015 - Present BI Norwegian Business School Professor
2013 - Present European University Institute, Florence, Italy Pierre Werner Chair in Monetary Union
2008 - Present Budapest School for Central Banking Studies, Hungary Director
2012 - 2015 European University Institute, Florence, Italy Professor of Econometrics
2010 - 2012 CREMed, Barcelona, Spain Associate researcher
2005 - 2012 Universitat Pompeu Fabra, Barcelona, Spain ICREA Research Professor
2005 - 2012 CREI, Barcelona, Spain Associate Research
2008 - 2008 University of Bern, Bern, Switzerland Chair in Macroeconomics
2003 - 2005 Igier-Bocconi, Milan, Italy Research Professor
1997 - 2003 Universitat Pompeu Fabra, Barcelona, Spain Professor
1996 - 2002 University of Southampton, United Kingdom Part-Time Professor
1995 - 1999 Università di Modena, Italy Professor
1994 - 1997 Universitat Pompeu Fabra, Barcelona, Spain Visiting Professor
1994 - 1995 University of Catania, Italy Professor
1991 - 1994 Brown University, USA Associate Professor
1991 - 1993 European University Institute, Italy Associate Professor
1990 - 1991 University of Rochester, USA Visiting Assistant Professor
1987 - 1990 Brown University, USA Assistant Professor