In this paper the oil price-macroeconomy relationship is investigated from a global perspective, by means of a large scale macro-financial-econometric model. In addition to real activity, fiscal and monetary policy responses and labor and financial markets are considered as well. We find that...

In this paper PC-VAR estimation of vector autoregressive models (VAR) is proposed. The estimation strategy successfully lessen the curse of dimensionality affecting VAR models, when estimated using sample sizes typically available in quarterly studies. The procedure involves a dynamic regression...

In the paper a general framework for large scale modeling of macroeconomic and financial time series is introduced. The proposed approach is characterized by simplicity of implementation, performing well independently of persistence and heteroskedasticity properties, accounting for common...

In the paper a general framework for large scale modeling of macroeconomic and financial time series is introduced. The proposed approach is characterized by simplicity of implementation, performing well independently of persistence and heteroskedasticity properties, accounting for common...

In the paper a general framework for large scale modeling of macroeconomic and financial time series is introduced. The proposed approach is characterized by simplicity of implementation, performing well independently of persistence and heteroskedasticity properties, accounting for common...

In this paper international comovements among a set of key real and nominal macroeconomic variables for the G-7 countries have been investigated for the 1980-2005 period, using a Factor Vector Autoregressive approach. We present evidence that comovements in macroeconomic variables do not concern...

The paper investigates the macroeconomic and financial effects of oil prices shocks in the euro area since its creation in 1999, with a special focus on the recent slump. The analysis is carried out episode by episode, within a time-varying parameter framework, consistent with the view that "not...

In this paper a new approach to factor vector autoregressive estimation, based on Stock and Watson (2005), is introduced. In addition to sharing all the relevant features of the Stock and Watson (2005) approach, in its static formulation, the proposed method has the advantage of allowing for a...

In the paper we propose a new methodological approach to core in- flation estimation, based on a frequency domain principal components estimator, suited to estimate systems of fractionally cointegrated processes. The proposed core inflation measure is the scaled common persistent factor in...

In this paper we study the zero frequency spectral properties of fractionally cointegrated long memory processes and introduce a new frequency domain principal components estimator of the cointegration space and the factor loading matrix for the long memory factors. We find that for fractionally...