This paper empirically examines the economic effects of COVID-19 vaccine rollouts using a cross-country daily database of vaccinations and high frequency indicators of economic activity—nitrogen dioxide (NO2) emissions, carbon monoxide (CO) emissions, and Google mobility indices—for a sample...

This paper examines empirically the determinants of COVID-19 vaccine rollouts and their effects on health outcomes. We assemble a comprehensive and novel cross-country database at a daily frequency on vaccinations and various health outcomes (new COVID-19 cases, fatalities, intensive care unit...

This paper assesses Brazil's growth performance from a long-term perspective, using crosscountry and panel estimation techniques, building on the vast empirical literature on growth. The empirical evidence presented in this paper confirms that macroeconomic stability and several reforms have...

Macroprudential stress testing (MaPST) is becoming firmly embedded in the post-crisispolicy-frameworks of financial-sectors around the world. MaPSTs can offer quantitative,forward-looking assessments of the resilience of financial systems as a whole, to particularlyadverse shocks. Therefore,...

This paper assesses the real effects of the energy reform in Mexico by looking at its impact on manufacturing output through changes in energy prices. Using sub-sector and state-level manufacturing output data, along with past variation in energy prices, we find electricity prices - relative to...

This paper estimates the effects of the Maastricht treaty's fiscal criterion on EU countries' general government deficits. We combine treatment effects methods with bunching estimation, and find that the 3 percent deficit rule acts as a 'magnet', increasing the number of observations around the...

This paper discusses comovement between inflation and output in the euro area. The strength of the comovement may not be apparent at first sight, but is clear at business cycle frequencies. Our results suggest that at business cycle frequency, the output and core inflation comovement is high and...

We compared the predictive performance of a series of machine learning and traditional methods for monthly CDS spreads, using firms' accounting-based, market-based and macroeconomics variables for a time period of 2006 to 2016. We find that ensemble machine learning methods (Bagging, Gradient...

This study uses bivariate extremal dependence measures, based on the number of equity return co-exceedances in two markets, to quantify both negative and positive equity returns contagion in mature and emerging equity markets during the past decade. The results indicate (a) higher contagion for...

Crude oil prices have been on a run-up spree in recent years. Their dynamics were characterized by high volatility, high intensity jumps, and strong upward drift, indicating that oil markets were constantly out-of-equilibrium. An explanation of the oil price process in terms of the underlying...