This document introduces the R library BGVAR to estimate Bayesian global vector autoregressions (GVAR) with shrinkage priors and stochastic volatility. The Bayesian treatment of GVARs allows us to include large information sets by mitigating issues related to overfitting. This improves inference...

We characterise the distribution of expected GDP growth during the Great Influenza Pandemic (known also as Spanish Flu) using a non-linear method in a country panel setting. We show that there are non-negligible risks of large GDP losses with the 5% left tail of the distribution suggesting a...

This paper extends the economic growth model tested by Levine and Zervos (1998) by including a measure for capital allocation efficiency proxied by stock price informativeness. Using a sample of 59 countries, this study finds that stock price informativeness as measured by firm-specific return...

The increase in global trade has contributed to the integration of domestic economies worldwide into a single global economy. Despite the welfare benefits from global trade, concerns remain regarding the impact of trade on the environment, particularly on global environmental threats like...

The current study investigates the impact of foreign direct investment on the growth of Namibia's economy from 1990 to 2020 using the ARDL cointegration method. The results reveal that FDI, the interactive variable of FDI and trade openness, and other macroeconomic variables such as domestic...