This paper proposes the use of Bayesian model averaging (BMA) as a tool to select the predictors' set for bridge models. BMA is a computationally feasible method that allows us to explore the model space even in the presence of a large set of candidate predictors. We test the performance of BMA...

Two main hypotheses are usually put forward to explain the productivity advantages of larger cities: agglomeration economies and firm selection. Combes et al. (2012) propose an empirical approach to disentangle these two effects and fail to find any impact of selection on local productivity...

The question of how climate change and weather fluctuations affect the economy is high on the economic research agenda, but the quantification of the effects of temperatures at infra-annual frequencies still remains an open issue. Using daily county-level data since 1970, I construct quarterly...

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...

Motivated by the events of the Great Recession, we estimate a time-varying structural VAR model to analyze the effects of a financial shock on the labor market, focusing on the US. Our results indicate that a tightening of financial conditions is highly detrimental to the labor market. Moreover,...

In this paper we provide evidence that the effects of the different waves of asset purchase programmes implemented by the ECB from 2009 onwards have spilled over into asset price volatility developments of a group of six Central and Eastern European economies belonging to the EU but not to the...

Inflation in the euro area has been falling steadily since early 2013 and at the end of 2014 turned negative. Part of the decline has been due to oil prices, but the weakness of aggregate demand has also played a significant role. This paper uses a VAR model to quantify the contribution of oil...

In this paper we provide novel evidence on changes in the relationship between the real price of oil and real exports in the euro area. By combining robust predictions on the sign of the impulse responses obtained from a theoretical model with restrictions on the slope of the oil demand and oil...

This paper evaluates the characteristics of a Point in Time (PiT) rating approach for the estimation of firms' credit risk in terms of procyclicality. To this end I first estimate a logit model for the probability default (PD) of a set of Italian non-financial firms during the period 2006-2012,...

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...