Dynamic factor models and external instrument identification are two recent advances in the empirical macroeconomic literature. This paper combines the two approaches in order to study the effects of monetary policy shocks. I use this novel framework to re-examine the effects found by Forni and...

Structural vector-autoregressive models are potentially very useful tools for guiding both macro- and microeconomic policy. In this paper, we present a recently developed method for exploiting non-Gaussianity in the data for estimating such models, with the aim of capturing the causal structure...

We estimate the macroeconomic effects of import tariffs and trade policy uncertainty in the United States, combining theory-consistent and narrative sign restrictions on Bayesian SVARs. We find mostly adverse consequences of protectionism. Tariff shocks are more important than trade policy...

This paper estimates the quarterly flow of migrants to the US working age population using data based on the Current Population Survey (CPS). The dynamic responses to immigration shocks are estimated in a vector autoregression. Immigration shocks, as well as technology shocks are identified...

The standard approach to discretizing VARs uses tensor grids. However, when the VAR components exhibit significant unconditional correlations or when there are more than a few variables, this approach creates large inefficiencies because some discretized states will be visited with only...

We use a factor model with stochastic volatility to decompose the time-varying variance of Macro economic and Financial variables into contributions from country-specific uncertainty and uncertainty common to all countries. We find that the common component plays an important role in driving the...

We study the impact of climate volatility on economic growth exploiting data on 133 countries between 1960 and 2005. We show that the conditional (ex ante) volatility of annual temperatures increased steadily over time, rendering climate conditions less predictable across countries, with...

Short-time work is a labor market policy that subsidizes working time reductions among firms in financial difficulty in order to prevent layoffs and stabilize employment. Many OECD countries have used this policy in the Great Recession, for example. This paper shows that the effects of...

Short-time work is a labor market policy that subsidizes working time reductions among firms in financial difficulty to prevent layoffs. Many OECD countries have used this policy in the Great Recession. This paper shows that the effects of short-time work are strongly time dependent and...

We propose a multicountry quantile factor augmeneted vector autoregression (QFAVAR) to model heterogeneities both across countries and across characteristics of the distributions of macroeconomic time series. The presence of quantile factors allows for summarizing these two heterogeneities in a...