This paper presents a global model linking individual country vector error-correcting models in which the domestic variables are related to the country-specific variables as an approximate solution to a global common factor model. This global VAR is estimated for 26 countries, the euro area...

We study the association between oil rents and tax revenues, highlighting the importance of the shadow economy as a mediating factor. We present a simple theoretical model demonstrating that decreasing oil rents are likely to be positively associated with the tax revenues in a country with a...

There is significant cross-country variation in Covid-19 fatalities worldwide. In this study, we analyze the relationship between political trust and fatalities of the Covid-19 pandemic. By performing a cross-country analysis and controlling for other determinants, we find that government trust...

This paper evaluates whether the level of public corruption influences COVID-19 case fatality rates. Using cross-section data, including 64 countries and multiple regression techniques, we find that the level of corruption is positively and significantly associated with COVID-19 human costs....

The purpose of this study is to examine the relationship between globalization, Coronavirus Disease 2019 (COVID-19) cases, and associated deaths in more than 100 countries. Our ordinary least squares multivariate regressions show that countries with higher levels of socio-economic globalization...

In this study, we look at the association between COVID-19 fatality rate and internal conflict, highlighting the importance of government economic support under the pandemic as a moderating factor. Our main hypothesis implies that increased COVID-19 fatality rates are likely to be positively...

We study the effect of a corruption reflection index on internal conflict in Iran using a novel measure of corruption based on newspaper coverage. We use the Vector Autoregression (VAR) model and its applied tools of impulse response and variance decomposition analyses to track the response of...

This paper considers a multivariate t version of the Gaussian dynamic conditional correlation (DCC) model proposed by Engle (2002), and suggests the use of devolatized returns computed as returns standardized by realized volatilities rather than by GARCH type volatility estimates. The t-DCC...