The dynamic causal effect of an intervention on an outcome is of paramount interest to
applied macro-and microeconomics research. However, this question has been generally …

Commonly used instruments for the identification of monetary policy disturbances are likely
to combine the true policy shock with information about the state of the economy due to the …

We conduct a simulation study of Local Projection (LP) and Vector Autoregression (VAR)
estimators of structural impulse responses across thousands of data generating processes …

Abstract Models characterized by autoregressive structure and random coefficients are
powerful tools for the analysis of high-frequency, high-dimensional and volatile time series …

Monitoring economic conditions in real time, or nowcasting, and Big Data analytics share
some challenges, sometimes called the three “Vs”. Indeed, nowcasting is characterized by …

Military spending has sizable effects on long-run growth because it shifts the composition of
public spending towards R&D. This boosts innovation and private investment in the medium …

We propose a way to directly nowcast the output gap using the Beveridge–Nelson
decomposition based on a mixed-frequency Bayesian VAR. The mixed-frequency approach …

I empirically study the impact of monetary policy on Bitcoin, and show that is has evolved
over time. First, based on high-frequency data, the paper documents that Bitcoin prices did …

The Bitcoin (BTC) market presents itself as a new unique medium currency, and it is often
hailed as the “currency of the future”. Simulating the BTC market in the price discovery …

We assess the effects of monetary policy shocks on income and wealth inequality through
direct inequality measures and by analyzing several transmission channels explored in …