The measures imposed by the governments to stop the spreading of SARS-CoV-2 virus, especially those referring to the mandatory character of physical distancing, determined more and more organizations to introduce teleworking, starting with March 2020. This paper analyses the factors that...

Countries have employed a variety of non-pharmaceutical interventions (NPIs) in order to curtail the Covid-19 pandemic. However, the success of individual measures in reducing the number of infections remains controversial. This paper exploits a panel data set of 182 countries to estimate the...

In this paper we empirically analyze the effect of the vaccinations against the SARS-CoV-2 virus on the Covid-19 pandemic for European countries from February 2021 to February 2022 with weekly data. We perform panel fixed effects estimations, GMM estimations and nonlinear penalized spline...

We employ multifractal detrended fluctuation analysis (MF-DFA) to provide the first look at the efficiency of forex markets during the initial period of ongoing COVID-19 pandemic, which has disrupted the financial markets globally. We use high frequency (5-min interval) data of six major...

We develop a new targeted maximum likelihood estimation method that provides improved forecasting for misspecified linear autoregressive models. The method weighs data points in the observed sample and is useful in the presence of data generating processes featuring structural breaks, complex...

We offer state-wise forecasts of COVID-19 pandemic deaths for the week ending August 10, 2020 based on a sample selection model to correct for rationed and biased testing for the virus. We refer the reader to our earlier papers including Vinod and Theiss (2020b) and Vinod and Theiss (2020a),...

COVID-19 pandemic has had a devastating impact on the global economy. In this paper, we use Phillips curve to compare and analyze the macroeconomics of three different countries with distinct income levels, namely, lower-middle (Nigeria), upper-middle (South Africa), and high (Canada) income. We...

We analyze bubble formations in house prices under the COVID-19 pandemic in 382 metropolitan areas in the U.S. with a special attention to the role of population density. We use a robust sieve-bootstrap version of the right-tailed unit root test procedure to identify periods of explosiveness in...

This article describes the relationship between countries' lockdown responses to the COVID-19 pandemic and those countries' political rights and civil liberties, macroeconomic variables, and vulnerability to the virus. Political rights and civil liberties cannot explain the differences in...

We develop a new targeted maximum likelihood estimation method that provides improved forecasting for misspecified linear autoregressive models. The method weighs data points in the observed sample and is useful in the presence of data generating processes featuring structural breaks, complex...