The COVID-19 crisis has affected economic sectors very heterogeneously, with possible risks for permanent losses in some sectors. This paper presents a sectoral-level, bottom- up method to estimate euro area potential outputin order to assess the impact of the crisis on it. The estimates are...

We investigate the effects of government spending on U.S. output with a threshold structural vector autoregressive model. We consider Bayesian model comparison and generalized impulse response analysis to test for nonlinearities in the responses of output to government spending. Our empirical...

This paper investigates how financial conditions and macroeconomic uncertainty jointly affect macroeconomic tail risks. We first document that tight financial conditions decrease all conditional quantiles of future output growth in the near term, while high macroeconomic uncertainty stretches...

We examine macroeconomic effects and transmission mechanisms of COVID-19 in Mongolia, a developing and commodity-exporting economy, by estimating a Bayesian structural vector autoregression on quarterly data. We find strong cross-border spillover effects of COVID-19. Our estimates suggest that...

The onset of the COVID-19 pandemic and the great lockdown caused macroeconomic variables to display complex patterns that hardly follow any historical behavior. In the context of Bayesian VARs, an off-the-shelf exercise demonstrates how a very low number of extreme pandemic observations bias the...

The question of how climate change affects the economy through temperature fluctuations is high on the economic research agenda, as the identification of exogenous weather shocks is still an open issue. Using daily county-level data since 1970, we construct a series of temperature shocks for the...

A threshold vector autoregression (TVAR) is estimated to study the effects of oil price shocks on Canadian output and price level. While much of the literature has investigated potential asymmetric effects of positive and negative oil price shocks, we extend the analysis to consider asymmetries...

This paper studies the macroeconomic effects of commodity price uncertainty (CPU) shocks. Using Australia as a case study, an econometric-based CPU index is proposed to reveal that Australia has experienced an unprecedented increase in uncertainty from the commodity market recently. Evidence...

This study assesses the oil prices-macaroeconomy relationship by means of multivariate VAR using both linear and non-linear specifications. Scaled oil prices model outperforms other models used in the study. It studies the impacts of oil price shocks on the growth of industrial production for...

We employ a parsimonious nonlinear Interacted-VAR to examine whether the real effects of uncertainty shocks are greater when the economy is at the Zero Lower Bound. We find the contractionary effects of uncertainty shocks to be statistically larger when the ZLB is binding, with differences that...