When agents' information is imperfect and dispersed, existing measures of macroeconomic uncertainty based on the forecast error variance have two distinct drivers: the variance of the economic shock and the variance of the information dispersion. The former driver increases uncertainty and...

Set identification in Bayesian vector autoregression (VARs) is becoming increasingly popular while facing recent criticism about potentially unwanted prior dominance and underrepresented bounds of the identified set. This can lead to biased inference even in large samples. Common estimation...

In this paper we assess the information content of seven widely cited early indicators for the euro area with respect to forecasting area-wide industrial production. To this end, we use various tests that are designed to compare competing forecast models. In addition to the standard...

This paper explores the importance of housing and mortgage market heterogeneity in 12 European countries for the transmission of monetary policy. We use a panel VAR model which is estimated over the period 1995-2006 to generate impulse responses of key macroeconomic variables to a monetary...

Using 136 United States macroeconomic indicators from 1973 to 2017, and a factor augmented vector autoregression (FAVAR) framework with sign restrictions, we investigate the effects of three structural macroeconomic shocks - monetary, demand, and supply – on the labour market outcomes of black...

This paper uses fractional integration and cointegration methods to analyse the determinants of the amount of loans provided to non-financial corporations (NFCs) during the last three decades in four Eurozone countries, namely Germany, France, Italy and Spain. More specifically, ARFIMA...

Recursively identified vector autoregressive (VAR) models often lead to a counterintuitive response of prices (and output) shortly after a monetary policy shock. To overcome this problem, we propose to estimate the VAR parameters under the restriction that economic theory is not violated, while...

Traditional approaches to structural vector autoregressions can be viewed as special cases of Bayesian inference arising from very strong prior beliefs. These methods can be generalized with a less restrictive formulation that incorporates uncertainty about the identifying assumptions...

This paper analyses the dynamic effects of fiscal imbalances in a given EMU member state on the borrowing costs of other countries in the euro area. The estimation of a multivariate, multi-country time series model (specifically a Global VAR, or GVAR) using quarterly data for the EMU period...

The current paper broadens the understanding of the role played by uncertainty in the context of macroeconomic fluctuations. It focuses on the implications of uncertainty shocks for indicators that tend to precede financial crises. In an empirical analysis we show for a set of four euro area...