2023 - Research.com Economics and Finance in Norway Leader Award
2022 - Research.com Economics and Finance in Norway Leader Award
Elected Fellow of the European Economic Association
Fabio Canova mainly investigates Econometrics, Business cycle, Macroeconomics, General equilibrium theory and Monetary economics. His study in Econometrics is interdisciplinary in nature, drawing from both Estimation theory, Bayesian probability and Dynamic stochastic general equilibrium. He integrates Business cycle with Empirical evidence in his study.
In his research on the topic of Macroeconomics, Robustness, Stylized fact and Hodrick–Prescott filter is strongly related with Variety. Inflation is the focus of his Monetary economics research. In his study, which falls under the umbrella issue of Inflation, Inference is strongly linked to Identification.
His scientific interests lie mostly in Econometrics, Business cycle, Monetary economics, Inflation and Bayesian probability. His work deals with themes such as Monte Carlo method, Inference and Dynamic stochastic general equilibrium, which intersect with Econometrics. His Dynamic stochastic general equilibrium research is multidisciplinary, incorporating elements of Structural estimation, Mathematical economics, Decision rule and Identification.
His Business cycle research is under the purview of Macroeconomics. His work on Fiscal policy as part of his general Monetary economics study is frequently connected to Stock, thereby bridging the divide between different branches of science. His Inflation study which covers Monetary policy that intersects with Volatility and Short run.
Fabio Canova spends much of his time researching Econometrics, Dynamic stochastic general equilibrium, Inference, Identification and Business cycle. The study incorporates disciplines such as Estimator, Monte Carlo method and Stylized fact in addition to Econometrics. His Inference research integrates issues from Open economy, Mathematical economics, Bayesian probability and Autoregressive model.
In his study, Standard algorithms is strongly linked to Metropolis–Hastings algorithm, which falls under the umbrella field of Identification. His research integrates issues of Economic geography, Development economics, Convergence and Recession in his study of Business cycle. His research in Recession intersects with topics in Volatility and Monetary economics.
His primary areas of investigation include Identification, Business cycle, Econometrics, Monetary policy and Monetary economics. The concepts of his Identification study are interwoven with issues in Variation, Mathematical optimization, Applied mathematics, Dynamic stochastic general equilibrium and Standard model. His studies deal with areas such as Convergence, Recession and Economic geography as well as Business cycle.
His work carried out in the field of Econometrics brings together such families of science as Inference, Bayesian probability and Shock. Fabio Canova has researched Bayesian probability in several fields, including New Keynesian economics, Data mining and C11. His Monetary policy research incorporates themes from Capital adequacy ratio and Inflation.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Detrending and business cycle facts
Fabio Canova;Fabio Canova.
Journal of Monetary Economics (1998)
Methods for Applied Macroeconomic Research
Inequality and convergence in Europe’s regions: reconsidering European regional policies
Michele Boldrin;Fabio Canova.
Economic Policy (2001)
Monetary disturbances matter for business fluctuations in the G-7
Fabio Canova;Fabio Canova;Fabio Canova;Gianni De Nicoló.
Journal of Monetary Economics (2002)
Back to square one: Identification issues in DSGE models
Fabio Canova;Luca Sala.
Journal of Monetary Economics (2009)
The transmission of US shocks to Latin America
Journal of Applied Econometrics (2005)
Panel Vector Autoregressive Models: A Survey
Fabio Canova;Matteo Ciccarelli.
Research Papers in Economics (2013)
Panel Vector Autoregressive Models: A Survey ☆ ☆The views expressed in this article are those of the authors and do not necessarily reflect those of the ECB or the Eurosystem.
Fabio Canova;Matteo Ciccarelli.
The Poor Stay Poor: Non-Convergence Across Countries and Regions
Fabio Canova;Albert Marcet.
Research Papers in Economics (1995)
Testing for Convergence Clubs in Income Per Capita: A Predictive Density Approach*
International Economic Review (2004)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: