This paper investigates the identification and dating of the European business cycle, using different methods. We concentrate on methods and statistical series that provides timely and accurate information about the contemporaneous state of the economy in order to provide the reader with a...

We study the relationship between hours worked and technology during the postwar period in the US. We show that the responses of hours to technological improvements have increased over time, and that the patterns captured by the SVAR are consistent with those obtained from an RBC model with a...

We analyse the likely effects of changes in the monetary and financial regimes of EMU countries on the dynamics of output and inflation. In particular, we evaluate the impact of the regime shift on the forecasting performance of reduced-form models. Data for both the pre-EMU and the EMU regimes...

Filters used to estimate unobserved components in time series are often designed on a priori grounds, so as to capture the frequencies associated with the component. A limitation of these filters is that they may yield spurious results. The danger can be avoided if the so called ARIMA model...

This paper develops a flexible and computationally efficient model to estimate the credit loss distribution of the loans in a banking system. We consider a sectorial structure, where default frequencies and the total number of loans are allowed to depend on macroeconomic conditions as well as on...

Recent treatments of the issue of a zero floor on nominal interest rates have been subject to some important methodological limitations. These include the assumption of perfect foresight or the introduction of the zero lower bound as an initial condition or a constraint on the variance of the...

This paper proposes the use of dynamic factor models as an alternative to the VAR-based tools for the empirical validation of dynamic stochastic general equilibrium (DSGE) theories. Along the lines of Giannone et al. (2006), we use the state-space parameterisation of the factor models proposed...

This paper considers estimation and inference in panel vector autoregressions with fixed effects when the time dimension of the panel is finite, and the cross-sectional dimension is large. A Maximum Likelihood estimator based on a transformed likelihood function is proposed and shown to be...

This document presents a multivariate transfer function model for two components of CPI, the processed food and non-energy industrial goods, where the component of consumption goods of industrial price index (i.e. wholesale prices) is used as a leading indicator. We find that inflation rates of...

To select the best leading indicators for predicting short-term inflation, an extensive number of economic variables is analysed at quarterly level on the basis of their past correlation with the consumer price index (CPI) and its services and non-energy processed goods component (IPSEBENE)....