In this paper we develop a mixed frequency dynamic factor model featuring stochastic shifts in the volatility of both the latent common factor and the idiosyncratic components. We take a Bayesian perspective and derive a Gibbs sampler to obtain the posterior density of the model parameters. This...

We set out a model to compute short-term forecasts of the euro area GDP growth in real-time. To allow for forecast evaluation, we construct a real-time data set that changes for each vintage date and includes the exact information that was available at the time of each forecast. With this data...

Sector returns should theoretically differ during business cycle regimes. The notion of cyclical and defensive sectors is clearly established among practitioners and academics alike. On the other hand, the persistence, now- and forecastability of business cycles has been documented by a vast...

This paper presents the results of a counterfactual exercise that aims at quantifying the contribution to the evolution of bad debts made by the two recessions that have hit the Italian economy since 2008. The counterfactual simulations are performed using the Bank of Italy's Quarterly Model...

We propose a Markov-switching dynamic factor model to construct an index of global business cycle conditions, to perform short-term forecasts of world GDP quarterly growth in real time and to compute real-time business cycle probabilities. To overcome the real-time forecasting challenges, the...

This paper proposes a suite of Structural Bayesian Vector Autoregression (SBVAR) models used (i) to disentangle the main shocks driving the Spanish economy over time and (ii) to provide short and medium term forecasts of output and inflation. The suite consists of a benchmark model, that...

We assess to what extent indicators of financial conditions can be considered relevant determinants and predictors of macroeconomic aggregates. The main finding is that controlling for default risk and risk aversion measures improves the forecasts of output, employment and loans, but that this...

We examine a trivariate time series model that is subject to a regime switch, where the shifts are governed by an unobserved, two-state variable that follows a Markov process. The analysis is performed in a Bayesian framework developed by Albert and Chib (1993), where the unobserved states are...

Section I of this chapter briefly reviews the literature on medical spending, which suggests that health expenditures began small but steadily increased throughout history (from 1 percent to 4 percent of GDP), then began to increase rapidly among wealthier developed countries after 1950. Section...

This paper presents an innovative data set of judicial indicators in Brazil, based on the contents of court digital diaries (Diario da Justica Eletronico) for the state of Sao Paulo. These daily, well-structured text records allow computing aggregate, highfrequency court data for new cases,...