The uncertainty surrounding economic forecasts is generally related to multiple sources of risks, of domestic and foreign origin. This paper studies the predictive distribution of Italian GDP growth as a function of selected risk indicators, related to both financial and real economic...

The paper investigates the role of domestic and global determinants of euro area core inflation. We analyse the entire conditional distribution of inflation by estimating a Phillips curve type relationship using an expectile regression approach, extended to capture time-varying effects. The main...

The paper uses dynamic quantile regressions to estimate and forecast the conditional distribution of euro-area inflation. As in a Phillips curve relationship we assume that inflation quantiles depend on past inflation, the output gap, and other determinants, namely oil prices and the exchange...

A standard model-based trend-cycle decomposition of Italian GDP yields a likelihood function that is relatively flat and has two local maxima. A Bayesian estimation of the model identifies output gap and trend components that match the features of the Italian business cycle well. In a bivariate...

This paper presents an empirical analysis of the underlying drivers of the real interest rate in advanced economies over the last 35 years. We adopt a band spectrum regression approach, which allows to study the link between the real interest rate and its determinants only over low frequencies,...

The Bank of Italy quarterly econometric model (BIQM) is a large-scale ‘semi structural' macro-econometric model. It tries to strike the right balance between theoretical rigour and statistical fit to the data. This paper provides an update of the features and the properties of the model,...

We construct a Bayesian vector autoregressive model with three layers of information: the key drivers of inflation, cross-country dynamic interactions, and country-specific variables. The model provides good forecasting accuracy with respect to the popular benchmarks used in the literature. We...

In this paper we study the business cycle dating formulated by the CEPR committee for the euro area. We first compare recessions as defined by the CEPR to those obtained using alternative methodologies (e.g. Bry-Boschan algorithm) and we find that the CEPR dating is not fully in line with other...

The aim of the paper is to estimate a reliable quarterly time-series of potential output for the Italian economy, exploiting four alternative approaches: a Bayesian unobserved component method, a univariate time-varying autoregressive model, a production function approach and a structural VAR....

We compare two EGARCH models, which belong to a new class of models in which the dynamics are driven by the score of the conditional distribution of the observations. Models of this kind are called dynamic conditional score (DCS) models and their form facilitates the development of a...