We examine employment effects of the COVID-19 crisis in Norway during the initial lockdown, through the subsequent recovery, and after the dust had settled. While we identify large and socially skewed effects of the crisis through its early phases, we find no long-term effects on employees...

Argentina has had a profound regulatory activity to counteract the coronavirus pandemic so far and its consequences, which appear to worsen as time goes by. Based on the experience of other countries, a strict lockdown was put into place at an early stage, which has been opening up slowly but...

We examine employment effects of the COVID-19 crisis in Norway during the initial lockdown, through the subsequent recovery, and after the dust had settled. While we identify large and socially skewed effects of the crisis through its early phases, we find no long-term effects on employees...

Research background: The preparedness for outbreaks of pandemics such as the COVID-19 is a major concern for health authorities and leaders as extensive studies in the past have been reported and well documented. However, engaging with the response to an outbreak demands many decisions with...

Prior to the COVID-19 pandemic and subsequent economic contraction, the Online Platform Economy served as a crucial source of families’ income. The JPMorgan Chase Institute analyzes changes in supply-side participation in the Online Platform Economy during a period that includes the COVID-19...

In this article, our fundamental research question is to investigate the effect of the Coronavirus (named COVID-19) on the African American labor market. More specifically, we attempt to examine the potential economic impact of COVID-19 on the state of racial disparities among the African...

Historically, United States Veterans have represented an at-risk group for a variety of social ailments, including homelessness, disability, depression, anxiety, substance use disorder, and suicide, among others. This paper presents descriptive evidence on the economic and subjective well-being...

The COVID-19 pandemic has led to the widespread adoption of physical distancing to prevent the disease’s spread. Physical distancing, however, is not always feasible for essential workers. Robots are one proposed solution to help ensure that essential work is performed while reducing the risk...

In this paper, we compare two popular statistical learning techniques, logistic regression and random forest, with respect to their ability to classify jobseekers by their likelihood to become long-term unemployed. We study the performance of the two methods before the COVID-19 pandemic as well...